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  • 151.
    Vinel, Alexey
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Breu, Jakob
    Mercedes-Benz Research & Development, Sindelfingen, Germany.
    Luan, Tom
    Xidian University, Xi'an, China.
    Hu, Honglin
    Shanghai Institute of Microsystem and Information Technology, Shanghai, China.
    Emerging Technology for 5G-Enabled Vehicular Networks2017In: IEEE wireless communications, ISSN 1536-1284, E-ISSN 1558-0687, Vol. 24, no 6, p. 12-12Article in journal (Refereed)
  • 152.
    Vinel, Alexey
    et al.
    Department of Communications Engineering, Tampere University of Technology.
    Campolo, Claudia
    Dipartimento di Informatica, Matematica, Elettronica e Trasporti, University Mediterranea of Reggio Calabria.
    Petit, Jonathan
    Research Center IRIT, Paul Sabatier University.
    Koucheryavy, Yevgeni
    Department of Communications Engineering, Tampere University of Technology.
    Trustworthy Broadcasting in IEEE 802.11p/WAVE Vehicular Networks: Delay Analysis2011In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 15, no 9, p. 199-201Article in journal (Refereed)
    Abstract [en]

    Safety and non-safety applications envisioned for Vehicular Ad hoc NETworks (VANETs) heavily rely on broadcasting for the exchange of data and status messages. New threats to road safety and efficiency raise if security requirements for broadcasting are not properly met. The decision whether or not a driver can trust information about a reported hazard should take into account the tradeoff between the decision delay, false warning probability and likelihood of missing the hazard. Although broadcasting in VANETs has been analytically studied at least for the simplified assumptions, related works do not jointly consider the reliability of the medium access control (MAC) protocol and the trust issues. In this letter, a new analytical model is designed for evaluating the latency required to guarantee trustworthiness in VANETs. This model explicitly accounts the operation of 802.11p/WAVE MAC protocol and computes mean decision delay as a function of number of vehicles, ratio of intruders as well as contention window sizes. © IEEE

  • 153.
    Vinel, Alexey
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Chen, Wen-Shyen Eric
    ProphetStor Data Services, Milpitas, CA, USA.
    Xiong, Neal N.
    Department of Business and Computer Science, Southwestern Oklahoma State University, Weatherford, Oklahoma, USA.
    Rho, Seungmin
    Department of Media Software at Sungkyul University, Anyang, South Korea.
    Chilamkurti, Naveen
    Department of Computer Science and Telecommunications, La Trobe University, Melbourne, Australia.
    Vasilakos, Athanasios V.
    Luleå University of Technology, Luleå, Sweden.
    Enabling wireless communication and networking technologies for the internet of things2016In: IEEE wireless communications, ISSN 1536-1284, E-ISSN 1558-0687, Vol. 23, no 5, p. 8-9, article id 7721735Article in journal (Refereed)
  • 154.
    Vinel, Alexey
    et al.
    Saint-Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, Saint-Petersburg, Russia.
    Dudin, Alexander
    Belarusian State University, Minsk, Belaruse.
    Andreev, Sergey
    Department of Communications Engineering, Tampere University of Technology, Tampere, Finland.
    Xia, Feng
    Dalian University of Technology, Dalian, China.
    Performance modeling methodology of emergency dissemination algorithms for vehicular ad-hoc networks2010In: 2010 7th International Symposium on Communication Systems Networks and Digital Signal Processing (CSNDSP), Piscataway, N.J.: IEEE Press, 2010, p. 397-400Conference paper (Refereed)
  • 155.
    Vinel, Alexey
    et al.
    Saint-Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, Russian Federation.
    Fedorov, Konstantin
    Saint-Petersburg State Electrotechnical University (Microelectronics), Russian Federation.
    Random multiple access with successive interference cancellation for centralized networks2009In: IEEE Eurocon 2009 International Conference Devoted to the 150th Anniversary of Alexander Popov: Proceedings, New York: IEEE Press, 2009, p. 1930--1934Conference paper (Refereed)
    Abstract [en]

    The development of random multiple access (RMA) algorithms, which are based on the successive interference cancellation (SIC) has attracted attention of scientists in the last years. In this paper a new RMA algorithm for centralized networks, which we refer to as Multi-FS-TREE/SIC is introduced and analyzed. The algorithm is a combination of Multi-FS-ALOHA and SICTA and provides transmission rate more than 0.6.

  • 156.
    Vinel, Alexey
    et al.
    Saint-Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, Saint-Petersburg, Russia.
    Koucheryavy, Yevgeni
    Department of Communications Engineering, Tampere University of Technology, Tampere, Finland.
    A novel model for study of broadcasting in wireless networks2009In: Distributed Computer and Communication Networks. Theory and Applications (DCCN-2009), Moscow: R&D Company , 2009, p. 26-34Conference paper (Refereed)
  • 157.
    Vinel, Alexey
    et al.
    Saint-Petersburg Institute for Informatics and Automation Russian Academy of Sciences Saint-Petersburg, Russia.
    Koucheryavy, Yevgeni
    Tampere University of Technology Department of Communication Engineering Tampere, Finland.
    On the delay lower bound for the emergency message dissemination in vehicular ad-hoc networks2009In: Local Computer Networks, 2009. LCN 2009. IEEE 34th Conference on, Washington, DC: IEEE Computer Society, 2009, p. 652-654Conference paper (Refereed)
    Abstract [en]

    Active safety in vehicular environment can be achieved by means of installation of the wireless equipment on the boards of cars. Design of highly efficient protocols for car-to-car communications is a challenging task. If an emergency situation happens on the road, the information about it should be disseminated to the stakeholders with low delay and high reliability. In this paper, we derive a theoretical lower bound for the mean message transmission delay in multi-hop vehicular ad-hoc networks.

  • 158.
    Vinel, Alexey
    et al.
    Saint-Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, Saint-Petersburg, Russia.
    Koucheryavy, Yevgeni
    Department of Communications Engineering, Tampere University of Technology, Tampere, Finland.
    Andreev, Sergey
    Department of Communications Engineering, Tampere University of Technology, Tampere, Finland.
    Staehle, Dirk
    University of Wurzburg, Wurzburg, Germany.
    Estimation of a successful beacon reception probability in vehicular ad-hoc networks2009In: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: connecting the world wirelessly : 2009, Leipzig, Germany, June 21-24, 2009, New York, NY: ACM Press, 2009, p. 416-420Conference paper (Refereed)
  • 159.
    Vinel, Alexey
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Lan, Lin
    Hitachi Europe SAS, Sophia-Antipolis, France.
    Lyamin, Nikita
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Vehicle-to-vehicle communication in C-ACC/platooning scenarios2015In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 53, no 8, p. 192-197, article id 7180527Article in journal (Refereed)
    Abstract [en]

    Cooperative adaptive cruise control (C-ACC) and platooning are two emerging automotive intelligent transportation systems (ITS) applications. In this tutorial article we explain their principles, describe related ongoing standardization activities, and conduct performance evaluation of the underlying communication technology. © Copyright 2015 IEEE

  • 160.
    Vinel, Alexey
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Lyamin, Nikita
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Isachenkov, Pavel
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Modeling of V2V Communications for C-ITS Safety Applications: A CPS Perspective2018In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 22, no 8, p. 1600-1603Article in journal (Refereed)
    Abstract [en]

    Tight coupling between the performance of vehicleto-vehicle (V2V) communications and the performance of Cooperative Intelligent Transportation Systems (C-ITS) safety applications is addressed. A Cyber-Physical System (CPS) analytical framework is developed that links the characteristics of V2V communications (such as packet loss probability and packet transmission delay) with the physical mobility characteristics of the vehicular system (such as safe inter-vehicular distance). The study is applied to the Day 1 C-ITS application, Emergency Electronic Brake Lights (EEBL), enabled by ETSI ITS-G5 and IEEE 802.11p standards. © 2018 IEEE

  • 161.
    Vinel, Alexey
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Ma, Xiaomin
    Oral Roberts University, Tulsa, OK, USA.
    Huang, Dijiang
    Arizona State University, Tempe, AZ, USA.
    Guest Editors’ Introduction: Special Issue on Reliable and Secure VANETs2016In: IEEE Transactions on Dependable and Secure Computing, ISSN 1545-5971, E-ISSN 1941-0018, Vol. 13, no 1, p. 2-4Article in journal (Refereed)
  • 162.
    Vinel, Alexey
    et al.
    Tampere University of Technology, Tampere, Finland.
    Mehmood, RashidSchool of Engineering, Swansea, United Kingdom.Berbineau, MarionIFSTTAR, LEOST, Villeneuve d’Ascq, France.Rico Garcia, CristinaGerman Aerospace Center (DLR), Oberpfaffenhofen-Wessling, Germany.Huang, Chung-MingNational Cheng Kung University, Tainan, Taiwan.Chilamkurti, NaveenLa Trobe University, Bundoora, Melbourne, Australia.
    Communications Technologies for Vehicles: 4th International Workshop, Nets4Cars/Nets4Trains 2012, Vilnius, Lithuania, April 25-27, 2012, Proceedings2012Conference proceedings (editor) (Refereed)
    Abstract [en]

    The proceedings contain 15 papers. The topics discussed include: Cellular Networking Technologies in ITS Solutions: Opportunities and Challenges; effective and efficient security policy engines for automotive on-board networks; ICDMS: an intelligent cloud based disaster management system for vehicular networks; wireless driver and vehicle surveillance system based on IEEE 802.11 networks; architecture of car measurement system for driver monitoring; toward revocation data handling efficiency in VANETs; cluster based data aggregation in vehicular adhoc network; simulations of VANET scenarios with OPNET and sumo; human participatory sensing in fixed route bus information system; scheduling ofvehicles in transportation networks; design and prototype of a train-to-wayside communication architecture; and conceptual architectural design of Indian railway intelligent transportation systems. © Springer-Verlag Berlin Heidelberg 2012

  • 163.
    Vinel, Alexey
    et al.
    Saint-Petersburg Institute for Informatics and Automation, Russian Academy of Sciences.
    Ni, Qiang
    Brunel University, UK.
    Staehle, Dirk
    University of Wurzburg, Germany.
    Turlikov, Andrey
    Saint-Petersburg State University of Aerospace Instrumentation, Russia.
    Capacity analysis of reservation-based random access for broadband wireless access networks2009In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 27, no 2, p. 171-181Article in journal (Refereed)
    Abstract [en]

    In this paper we propose a novel model for the capacity analysis on the reservation-based random multiple access system, which can be applied to the medium access control protocol of the emerging WiMAX technology. In such a wireless broadband access system, in order to support QoS, the channel time is divided into consecutive frames, where each frame consists of some consequent mini-slots for the transmission of requests, used for the bandwidth reservation, and consequent slots for the actual data packet transmission. Three main outcomes are obtained: first, the upper and lower bounds of the capacity are derived for the considered system. Second, we found through the mathematical analysis that the transmission rate of reservationbased multiple access protocol is maximized, when the ratio between the number of mini-slots and that of the slots per frame is equal to the reciprocal of the random multiple access algorithm's transmission rate. Third, in the case of WiMAX networks with a large number of subscribers, our analysis takes into account both the capacity and the mean packet delay criteria and suggests to keep such a ratio constant and independent of application-level data traffic arrival rate. © 2006 IEEE.

  • 164.
    Vinel, Alexey
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Pettersson, Henrik
    Scania, Södertälje, Sweden.
    Lin, Lan
    Hitachi, Sophia Antipolis, France.
    Altintas, Onur
    Toyota, Tokyo, Japan.
    Gusikhin, Oleg
    Ford Research & Adv. Engineering, Dearborn, MI, United States.
    Vehicular networking for autonomous driving: [Guest Editorial]2015In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 53, no 12, p. 62-63Article in journal (Refereed)
  • 165.
    Vinel, Alexey
    et al.
    Saint-Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, Russia.
    Rodrigues, Joel
    University of Beira Interior, Covilhã, Portugal.
    Berbineau, Marion
    Institut français des sciences et technologies des transports, de l'aménagement et des réseaux (IFSTTAR), Marne-la-Vallée, France.
    Koucheryavy, Yevgeni
    Department of Communications Engineering, Tampere University of Technology, Finland.
    Gusikhin, Oleg
    Ford Research & Adv. Engineering, United States.
    Zhang, Yan
    Simula Research Laboratory, Lysaker, Norway.
    ITST 2011 Conference in Saint-Petersburg, Russia2011In: IEEE Global Communications Newsletter, ISSN 0163-6804, no Dec., p. 3-4Article in journal (Other (popular science, discussion, etc.))
  • 166.
    Vinel, Alexey
    et al.
    University of Wurzburg, Wurzburg, Germany.
    Staehle, Dirk
    University of Wurzburg, Wurzburg, Germany.
    Pries, Rastin
    University of Wurzburg, Wurzburg, Germany.
    Random Multiple Access in WiMAX: Problems and Solutions2007In: / [ed] Paulo Simões & Eugen Borcocci, 2007, p. 59-69Conference paper (Refereed)
  • 167.
    Vinel, Alexey
    et al.
    Saint-Petersburg State University of Aerospace Instrumentation, Saint-Petersburg, Russia.
    Staehle, Dirk
    University of Wurzburg, Wurzburg, Germany.
    Pries, Rastin
    University of Wurzburg, Wurzburg, Germany.
    Ni, Qiang
    Brunel University, Uxbridge, United Kingdom.
    Performance Analysis of the Polling Scheme in IEEE 802.162007In: Distributed Computer and Communication Networks. Theory and Applications.: Proceedings of the International Workshop. Vol.1. Moscow, Russia, September 10-12, 2007, Moscow: Institute for Information Transmission Problems (Kharkevich Institute) , 2007, p. 54-67Conference paper (Refereed)
  • 168.
    Vinel, Alexey
    et al.
    Saint-Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, Saint-Petersburg, Russian Federation.
    Staehle, Dirk
    Department of Distributed Systems, University of Wuerzburg, Wuerzburg, Germany.
    Turlikov, Andrey
    Saint-Petersburg State University of Aerospace Instrumentation, Saint-Petersburg, Russian Federation.
    Study of Beaconing for Car-to-Car Communication in Vehicular Ad-Hoc Networks2009In: Communications Workshops, 2009. ICC Workshops 2009. IEEE International Conference on: Proceedings, Piscataway: IEEE Press, 2009, p. 1-5Conference paper (Refereed)
    Abstract [en]

    IEEE 802.11p is currently being developed international standard, which specifies physical (PHY) and medium access control (MAC) protocols for car-to-car and carto-infrastructure communication and should become a basis for safety-related and infotainment applications in future vehicular ad-hoc networks (VANETs). In VANETs beaconing is one of the most important communication modes, which is used to advertise the presence of a car to its neighbor cars. For different applications timely and successful delivery of beacons containing speed, direction and position of a car is extremely important. In this paper, we present analytical methods for car-to-car communication analysis and investigate the influence of beacon generation rate on the mean beacon transmission delay and probability of a successful beacon reception in the IEEE 802.11pbased network in both saturated and unsaturated cases.

  • 169.
    Vinel, Alexey
    et al.
    Saint-Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, Russia.
    Vishnevsky, Vladimir
    Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.
    Analysis of Contention-Based Reservation in IEEE 802.16 for the Error-Prone Channel2008In: Selected Lectures on Multiple Access and Queueing Systems: Revised Selected Papers from International Workshop on Multiple Access Communications - MACOM-2008 (16-17 June 2008, Saint-Petersburg) / [ed] Vishnevsky, V., Vinel, A., Koucheryavy, E. & Staehle, D., Saint-Petersburg: Saint-Petersburg State University of Aerospace Instrumentation , 2008, p. 86-90Conference paper (Refereed)
    Abstract [en]

    Operation of centralized data network, where infinite population of subscribers perform reservations to get the allowance for packets transmission, is considered under error-prone channel conditions. Medium access control protocol, which combines subscribers’ random access algorithm and central station’s queuing service discipline, is investigated. Bounds for the capacity of the IEEE 802.16-like network with contention-based reservation are presented.

  • 170.
    Vinel, Alexey
    et al.
    Saint-Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, Saint-Petersburg, Russia.
    Vishnevsky, Vladimir
    Institute for Information Transmission Problems, Russian Academy of Sciences, Saint-Petersburg, Russia.
    Koucheryavy, Yevgeni
    Department of Communications Engineering, Tampere University of Technology, Tampere, Finland.
    A Simple Analytical Model for the Periodic Broadcasting in Vehicular Ad-Hoc Networks2008In: 2008 IEEE Globecom Workshops, GLOBECOM 2008, Piscataway, N.J.: IEEE Press, 2008, p. 1-5Conference paper (Refereed)
  • 171.
    Vinel, Alexey
    et al.
    Saint-Petersburg State University of Aerospace Instrumentation.
    Zhang, Yin
    Siemens AG, Communications, Munich, Germany.
    Lott, Matthias
    Siemens AG, Communications, Munich, Germany.
    Turlikov, Andrey
    Saint-Petersburg State University of Aerospace Instrumentation.
    Performance Analysis of the Random Access in IEEE 802.162005In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, New York, USA: IEEE Press, 2005, p. 1596-1600Conference paper (Refereed)
    Abstract [en]

    Recently, the IEEE has standardized the 802.16 protocol for metropolitan broadband wireless access systems. According to the standard, therandom access scheme based on the slotted binary exponential backoff algorithm is used in this system for initial ranging and bandwidth requests transmission. This paper provides both the simulation and analytical models for the investigation of the random access in IEEE 802.16. Based on the assumption of finite number of subscriber stations and ideal channel conditions the delay is evaluated for varying number of transmission opportunities and different backoff window sizes. © 2005 IEEE.

  • 172.
    Vinel, Alexey
    et al.
    Information Systems Department State University of Aerospace Instrumentation Saint-Petersburg, Russia.
    Zhang, Ying
    Future Radio Concepts Siemens AG Munich, Germany.
    Ni, Qiang
    Electronic & Computer Engineering School of Engineering and Design, Brunel University London, United Kingdom.
    Lyakhov, Andrey
    Laboratory of Information Transmission Networks Institute for Information Transmission Problems, RAS Moscow, Russia.
    Efficient Request Mechanism Usage in IEEE 802.162006In: Global Telecommunications Conference, GLOBECOM 2006, Piscataway, NJ: IEEE Press, 2006, p. 1-5Conference paper (Refereed)
    Abstract [en]

    IEEE 802.16 protocols for metropolitanbroadband wireless access systems have been standardizedrecently. According to the standard, a subscriber station candeliver bandwidth request messages to a base station bynumerous methods. This paper provides both the simulation andanalytical models for the investigation of specified random accessmethod, which is compared with centralized polling and stationgroupingmechanisms. Based on the assumptions of Bernoullirequest arrival process and ideal channel conditions, the meandelay of a request transmission is evaluated for varying numberof transmission opportunities and different arrival rates.

  • 173.
    Vishnevsky, Vladimir
    et al.
    Institute for Information Transmission Problems, Russian Academy of Sciences, Russia.
    Samouylov, Konstantin
    Peoples’ Friendship University of Russia, Moscow, Russia.
    Koucheryavy, Yevgeni
    Department of Communications Engineering, Tampere University of Technology, Finland.
    Vinel, Alexey
    Saint-Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, Russia.
    Tkachenko, Dmitry
    IEEE Russia Northwest BT/CE/COM Chapter, Russia.
    ICUMT 2010 Congress in Moscow, Russia2011In: IEEE Global Communications Newsletter, ISSN 0163-6804, no March, p. 4-4Article in journal (Other (popular science, discussion, etc.))
  • 174.
    Vishnevsky, Vladimir
    et al.
    Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.
    Vinel, AlexeySaint-Petersburg State University of Aerospace Instrumentation, Saint Petersburg, Russia.Koucheryavy, YevgeniDepartment of Communications Engineering, Tampere University of Technology, Tampere, Finland.Staehle, DirkUniversity of Wurzburg, Würzburg, Germany.
    Selected Lectures on Multiple Access and Queueing Systems: Revised Selected Papers from International Workshop on Multiple Access Communications - MACOM-2008 (16-17 June 2008, Saint-Peterburg)2008Conference proceedings (editor) (Refereed)
    Abstract [en]

    Claude Shannon established the foundation for the discipline now known as "multi-user information theory" in his pioneering paper "Two-way Communication Channels" in 1961 and later  Norman Abramson published his paper “The Aloha System – Another Alternative for Computer Communications” in 1970 which introduced the concept of multiple access using a shared commonchannel. After more than 40 years of study, numerous elegant theories and algorithms have beendeveloped for multiple access techniques.

    In recent years, broadband wireless data networks (for instance, IEEE 802.11 Wi-Fi, IEEE802.16 WiMAX) are driving the development of the telecommunication industry and Beyond 3G(B3G) wireless systems are expected to provide a variety of multimedia services in a wide range of wireless and mobile environments. To use the scarce bandwidth resource of the wireless channel, it isnecessary to design channel access control techniques for a large population of users (potentiallyhundreds of mobile stations).

    The aim of these collected articles is to give an overview of the state-of-the-art results inmulti-user communications theory, multiple access techniques, queuing theory and standardizationactivities in areas mostly related to PHY and MAC layer protocols for contemporary wirelessnetworks and their interactions.

  • 175.
    Wang, Kun
    et al.
    Nanjing University of Posts and Telecommunications, Nanjing, China.
    Du, Miao
    Nanjing University of Posts and Telecommunications, Nanjing, China.
    Sun, Yanfei
    Nanjing University of Posts and Telecommunications, Nanjing, China.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Zhang, Yan
    University of Oslo, Oslo, Norway & Simula Research Laboratory, Fornebu, Norway.
    Attack Detection and Distributed Forensics in Machine-to-Machine Networks2016In: IEEE Network, ISSN 0890-8044, E-ISSN 1558-156X, Vol. 30, no 6, p. 49-55Article in journal (Refereed)
    Abstract [en]

    The advanced idea of machine-to-machine technology has attracted a new period of network revolution, evolving into a method to monitor and control global industrial user assets, machines, and the production process. M2M networks are considered to be the intelligent connection and communication between machines. However, the security issues have been further amplified with the development of M2M networks. Consequently, it is essential to pour attention into attack detection and forensics problems in M2M networks. This article puts forward the hybrid attack detection and forensics model in M2M networks. It contains two modules: the attack detection module and the forensics analysis module. In addition, we present a distributed anti-honeypot-based forensics strategy to cope with DDoS attacks in the forensics analysis module. Finally, we also discuss some challenges in M2M network security and forensics.

  • 176.
    Wang, Kun
    et al.
    Nanjing University of Posts and Telecommunications, Nanjing, China.
    Gu, Liqiu
    Nanjing University of Posts and Telecommunications, Nanjing, China.
    He, Xiaoming
    Nanjing University of Posts and Telecommunications, Nanjing, China.
    Guo, Song
    Hong Kong Polytechnic University, Hong Kong, Hong Kong.
    Sun, Yanfei
    Nanjing University of Posts and Telecommunications, Nanjing, China.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Shen, Jian
    Nanjing University of Information Science and Technology, Nanjing, China.
    Distributed Energy Management for Vehicle-to-Grid Networks2017In: IEEE Network, ISSN 0890-8044, E-ISSN 1558-156X, Vol. 31, no 2, p. 22-28Article in journal (Refereed)
    Abstract [en]

    Making full use of V2G services, EVs with batteries may assist the smart grid in alleviating peaks of energy consumption. Aiming to develop a systematic understanding of the interplay between smart grid and EVs, an architecture for the V2G networks with the EV aggregator is designed to maintain the balance between energy suppliers (the grid side) and consumers (the EV side). We propose a combined control and communication approach considering distributed features and vehicle preferences in order to ensure efficient energy transfer. In our model, the integrated communication and control unit can achieve realtime and intelligent management with the logic controller and collected data. On the consumers' side, we theoretically analyze how to satisfy the charging constraints that we incorporate in the form of willingness to pay, and propose a distributed framework to coordinate the energy delivery behaviors for satisfying service demands. Moreover, illustrative results indicate that the proposed approach can yield higher revenue than the conventional pricing mechanism in V2G networks.

  • 177.
    Wang, Kun
    et al.
    Nanjing University of Posts and Telecommunications, Nanjing, China.
    Wang, Yunqi
    Nanjing University of Posts and Telecommunications, Nanjing, China.
    Hu, Xiaoxuan
    Nanjing University of Posts and Telecommunications, Nanjing, China.
    Sun, Yanfei
    Nanjing University of Posts and Telecommunications, Nanjing, China.
    Deng, Der-Jiunn
    National Changhua University of Education, Changhua City, Taiwan.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Zhang, Yan
    University of Oslo, Oslo, Norway & Simula Research Laboratory, Fornebu, Norway.
    Wireless Big Data Computing in Smart Grid2017In: IEEE wireless communications, ISSN 1536-1284, E-ISSN 1558-0687, Vol. 24, no 2, p. 58-64Article in journal (Refereed)
    Abstract [en]

    The development of smart grid brings great improvement in the efficiency, reliability, and economics to power grid. However, at the same time, the volume and complexity of data in the grid explode. To address this challenge, big data technology is a strong candidate for the analysis and processing of smart grid data. In this article, we propose a big data computing architecture for smart grid analytics, which involves data resources, transmission, storage, and analysis. In order to enable big data computing in smart grid, a communication architecture is then described consisting of four main domains. Key technologies to enable big-data-aware wireless communication for smart grid are investigated. As a case study of the proposed architecture, we introduce a big-data- enabled storage planning scheme based on wireless big data computing. A hybrid approach is adopted for the optimization including GA for storage planning and a game theoretic inner optimization for daily energy scheduling. Simulation results indicate that the proposed storage planning scheme greatly reduce.

  • 178.
    Xia, Feng
    et al.
    Dalian University of Technology.
    Vinel, Alexey
    Department of Communications Engineering, Tampere University of Technology.
    Gao, Ruixia
    Dalian University of Technology.
    Wang, Linqiang
    Dalian University of Technology.
    Qiu, Tie
    Dalian University of Technology.
    Evaluating IEEE 802.15.4 for Cyber-Physical Systems2011In: EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1472, E-ISSN 1687-1499, no Article number 596397Article in journal (Refereed)
    Abstract [en]

    With rapid advancements in sensing, networking, and computing technologies, recent years have witnessed the emergence of cyber-physical systems (CPS) in a broad range of application domains. CPS is a new class of engineered systems that features the integration of computation, communications, and control. In contrast to general-purpose computing systems, many cyber-physical applications are safety critical. These applications impose considerable requirements on quality of service (QoS) of the employed networking infrastruture. Since IEEE 802.15.4 has been widely considered as a suitable protocol for CPS over wireless sensor and actuator networks, it is of vital importance to evaluate its performance extensively. Serving for this purpose, this paper will analyze the performance of IEEE 802.15.4 standard operating in different modes respectively. Extensive simulations have been conducted to examine how network QoS will be impacted by some critical parameters. The results are presented and analyzed, which provide some useful insights for network parameter configuration and optimization for CPS design. © 2011 Feng Xia et al.

  • 179.
    Xia, Feng
    et al.
    School of Software, Dalian University of Technology, China.
    Yang, Laurence T.
    Department of Computer Science, St. Francis Xavier University, Canada.
    Wang, Lizhe
    Indiana University, USA.
    Vinel, Alexey
    Department of Communications Engineering, Tampere University of Technology, Finland.
    Internet of Things2012In: International Journal of Communication Systems, ISSN 1074-5351, E-ISSN 1099-1131, Vol. 25, no 9, p. 1101-1102Article in journal (Refereed)
  • 180.
    Xu, Bingyu
    et al.
    Queen Mary University of London, London, United Kingdom.
    Chen, Yue
    Queen Mary University of London, London, United Kingdom.
    Requena Carrión, Jesús
    Queen Mary University of London, London, United Kingdom.
    Loo, Jonathan
    Middlesex University, London, United Kingdom.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Energy-aware Power Control in Energy Cooperation Aided Millimeter Wave Cellular Networks with Renewable Energy Resources2016In: IEEE Access, E-ISSN 2169-3536, Vol. 5, p. 432-442Article in journal (Refereed)
    Abstract [en]

    Increased energy consumption becomes a major issue in 5G cellular networks, which inspires the network operators to deploy renewable energy sources. However, due to the fluctuating nature of renewable energy sources, the energy harvested by base stations (BSs) may not fit for their load conditions. The transmit power of the BS needs to be redesigned again. Hence, this paper considers power control in energy cooperation enabled millimeter wave (mmWave) networks, to alleviate the harvested energy imbalance problem and reduce the energy waste. Each BS is solely powered by renewable energy sources and the harvested energy is allowed to be transferred between BSs. Each BS needs to determine whether the energy should be stored in the battery or transferred to others at each time slot. In this work, power control is formulated as a stochastic optimization problem, aiming at maximizing the time average network utility while keeping the network stable. An online algorithm called Dynamic Energy-aware Power Allocation (DEPA) is proposed based on Lyapunov optimization, which does not need to acquire any statistical knowledge of channels and traffic arrivals. Simulation results show that compared with the power control scheme without energy cooperation, the proposed algorithm with energy cooperation can achieve higher network sum rate while reducing the delay and the required battery capacity.

  • 181.
    Yang Lin, Shih
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Englund, Cristofer
    Viktoria Swedish ICT, Gothenburg, Sweden.
    Chen, Lei
    Viktoria Swedish ICT, Gothenburg, Sweden.
    Poster: Adaptive Wavelength Adjustment (AWLA) for Cooperative Speed Harmonization2014In: 2014 IEEE Vehicular Networking Conference (VNC) / [ed] Falko Dressler, Onur Altintas, Suman Banerjee, Björn Scheuermann & David Eckhoff, Piscataway, NJ: IEEE Press, 2014, p. 113-114Conference paper (Refereed)
    Abstract [en]

    Traffic merge on express-ways creates bottlenecks for traffic flow that potentially lead to traffic jams, especially in dense traffic. Cooperative speed harmonization (CSH), where vehicles are grouped and associated to virtual speed waves for group-wise joining at intersections, is proven to be efficient for on-ramp traffic merge. Based on CSH and considering variations of traffic density from joining roads, an adaptive wavelength adjustment (AWLA) mechanism is proposed in this paper. AWLA extends CSH by dynamically adjusting the length of segments in virtual waves according to the traffic densities of the joining roads. Therefore, roads with denser traffic may have larger segments to carry more vehicles through the intersection, which may improve the overall performance. Simulation results have shown that AWLA can achieve lower CO2 emissions and shorter travel time compared to CSH with static segment settings.

  • 182.
    Yin, Xiaoyan
    et al.
    Electrical and Computer Engineering Department, Duke University, Durham, NC, USA.
    Ma, Xiaomin
    Department of Engineering and Physics, College of Science and Engineering, Oral Roberts University, Tulsa, OK, USA.
    Trivedi, Kishor S.
    Electrical and Computer Engineering Department, Duke University, Durham, NC, USA.
    Vinel, Alexey
    Tampere University of Technology, Tampere, Finland.
    Performance and Reliability Evaluation of BSM Broadcasting in DSRC with Multi-channel Schemes2014In: I.E.E.E. transactions on computers (Print), ISSN 0018-9340, E-ISSN 1557-9956, Vol. 63, no 12, p. 3101-3113Article in journal (Refereed)
    Abstract [en]

    IEEE 1609.4 protocol defines a channel switching mechanism to enable a single radio operating efficiently on multiple channels to support both safety and non-safety services. Basic safety message (BSM) is transmitted only through the control channel at regular intervals. In this paper, we propose an analytic model based on interacting semi-Markov process (SMP) to evaluate both Medium Access Control (MAC) and application level performance and reliability of safety message broadcasting incorporating the impact of multichannel operations. Message service time distribution is derived using Laplace-Stieltjes transform based on the proposed model. Due to the cyclic interactions between theSMPmodels for vehicles contending the samechannel, fixed-point iteration is used to obtain converged solutions. Subsequently, MAC and application-level performance and reliability metrics are derived based on the converged solutions. Channel fading with path loss is taken into consideration in this derivation. The analytic models are validated through extensive simulations in NS2 to verify the effectiveness and accuracy of our proposed fixed-point iteration based model decomposition. The effects of channel switching mechanism and channel fading are also evaluated by comparing with other analytic models.

  • 183.
    Yu, Rong
    et al.
    Guangdong University of Technology, Guangzhou, China.
    Ding, Jiefei
    Guangdong University of Technology, Guangzhou, China.
    Zhong, Weifeng
    Guangdong University of Technology, Guangzhou, China.
    Zhang, Yan
    Simula Research Laboratory, Fornebu, Norway.
    Gjessing, Stein
    University of Oslo, Oslo, Norway.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Jonsson, Magnus
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Price-based Energy Control for V2G Networks in the Industrial Smart Grid2015In: Proceedings of the 2015 1st International Conference on Industrial Networks and Intelligent Systems: INISCom: Tokyo, Japan: March 2-4, 2015, Piscataway, NJ: IEEE, 2015, p. 107-112, article id 7157830Conference paper (Refereed)
    Abstract [en]

    The energy crisis and global warming call for a new industrial revolution in production and distribution of renewable energy. Distributed power generation will be well developed int he new smart electricity distribution grid, in which robust power distribution will be the key technology. In this paper, we presenta new vehicle-to-grid (V2G) network for energy transfer, in which distributed renewable energy helps the power grid balance demand and supply. Plug-in hybrid electric vehicles (PHEVs) will act as transporters of electricity for distributed renewable energy dispatching. We formulate and analyze the V2G network within the theoretical framework of complex network. We also employthe generalized synchronization method to study the dynamic behavior of V2G networks. Furthermore, we develop a new price-based energy control method to stimulate the PHEV’s behavior of charging and discharging. Simulation results indicate that the V2G network can achieve synchronization and each region is able to balance energy supply and demand through price-based control. © 2015 ICST.

  • 184.
    Yu, Rong
    et al.
    Guangdong University of Technology, Guangzhou, China.
    Huang, Xumin
    Guangdong University of Technology, Guangzhou, China.
    Kang, Jiawen
    Guangdong University of Technology, Guangzhou, China.
    Yuen, Chau
    Singapore University of Technology and Design, Singapore, Singapore.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Jonsson, Magnus
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Gjessing, Stein
    Simula Research Laboratory & Department of Informatics, University of Oslo, Oslo, Norway.
    Zhang, Yan
    Simula Research Laboratory & Department of Informatics, University of Oslo, Oslo, Norway.
    An Optimal Replenishment Strategy in Energy Harvesting Wireless Networks with A Mobile Charger2015In: 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness / [ed] Der-Jiunn Deng, Lei Shu, Chih-Cheng Tseng, Chun-Cheng Lin, Neeli R. Prasad & Tony Quek, Taipei: Institute for Computer Sciences (ICST) , 2015Conference paper (Refereed)
    Abstract [en]

    Energy harvesting wireless network is an emerging paradigm where the wireless nodes harvest energy to increase their lifetime. Due to high potential for a large variety of applications, such networks have drawn considerable attention in both industry and academia. In this paper, we consider the energy replenishment problem when the wireless nodes not only harvest energy from the ambient environment but also may receive energy from a mobile charger. We propose an optimal energy replenishment strategy using stochastic inventory theory to derive the optimal amount of energy supplied by the mobile charger. The simulation results show that our proposed scheme not only optimizes the energy utilization, but also improves the economic benefit of the wireless nodes. Copyright © 2015–2015 ICST

  • 185.
    Zhang, Ke
    et al.
    University of Electronic Science and Technology of China, Chengdu, China.
    Mao, Yuming
    University of Electronic Science and Technology of China, Chengdu, China.
    Leng, Supeng
    University of Electronic Science and Technology of China, Chengdu, China.
    Maharjan, Sabita
    Simula Research Laboratory, Fornebu, Norway & University of Oslo, Oslo, Norway.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Zhang, Yan
    University of Oslo, Oslo, Norway.
    Contract-theoretic Approach for Delay Constrained Offloading in Vehicular Edge Computing Networks2019In: Journal on spesial topics in mobile networks and applications, ISSN 1383-469X, E-ISSN 1572-8153, Vol. 24, no 3, p. 1003-1014Article in journal (Refereed)
    Abstract [en]

    Mobile Edge Computing (MEC) is a promising solution to improve vehicular services through offloading computation to cloud servers in close proximity to mobile vehicles. However, the self-interested nature together with the high mobility characteristic of the vehicles make the design of the computation offloading scheme a significant challenge. In this paper, we propose a new Vehicular Edge Computing (VEC) framework to model the computation offloading process of the mobile vehicles running on a bidirectional road. Based on this framework, we adopt a contract theoretic approach to design optimal offloading strategies for the VEC service provider, which maximize the revenue of the provider while enhancing the utilities of the vehicles. To further improve the utilization of the computing resources of the VEC servers, we incorporate task priority distinction as well as additional resource providing into the design of the offloading scheme, and propose an efficient VEC server selection and computing resource allocation algorithm. Numerical results indicate that our proposed schemes greatly enhance the revenue of the VEC provider, and concurrently improve the utilization of cloud computing resources. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

  • 186.
    Zhang, Ke
    et al.
    University of Electronic Science and Technology of China, Chengdu, China.
    Mao, Yuming
    University of Electronic Science and Technology of China, Chengdu, China.
    Leng, Supeng
    University of Electronic Science and Technology of China, Chengdu, China.
    Maharjan, Sabita
    Simula Research Laboratory, Oslo, Norway.
    Zhang, Yan
    Simula Research Laboratory, Oslo, Norway.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Jonsson, Magnus
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Incentive-Driven Energy Trading in the Smart Grid2016In: IEEE Access, E-ISSN 2169-3536, Vol. 4, p. 1243-1257, article id 7436757Article in journal (Refereed)
    Abstract [en]

    The smart grid is widely considered as an efficient and intelligent power system. With the aid of communication technologies, the smart grid can enhance the efficiency and reliability of the grid system through intelligent energy management. However, with the development of new energy sources, storage and transmission technologies together with the heterogeneous architecture of the grid network, several new features have been incorporated into the smart grid. These features make the energy trading more complex and pose a significant challenge on designing efficient trading schemes. Based on this motivation, in this paper, we present a comprehensive review of several typical economic incentive approaches adopted in the energy-trading control mechanisms. We focus on the technologies that address the challenges specific to the new features of the smart grid. Furthermore, we investigate the energy trading in a new cloud-based vehicle-to-vehicle energy exchange scenario. We propose an optimal contract-based electricity trading scheme, which efficiently increases the generated profit. © 2013 IEEE.

  • 187.
    Zhang, Ke
    et al.
    School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
    Mao, Yuming
    School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
    Leng, Supeng
    School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Zhang, Yan
    Simula Research Laboratory, Oslo, Norway.
    Delay constrained offloading for Mobile Edge Computing in cloud-enabled vehicular networks2016In: Proceedings of 2016 8th International Workshop on Resilient Networks Design and Modeling (RNDM) / [ed] Magnus Jonsson, Jacek Rak, Arun Somani, Dimitri Papadimitriou & Alexey Vinel, Piscataway: IEEE Press, 2016, p. 288-294Conference paper (Refereed)
    Abstract [en]

    Cloud-based vehicular networks is a new paradigm to improve the vehicular services through distributing computation tasks between remote clouds and local vehicular terminals. To further reduce the latency and the transmission cost of the computation offloading, we propose a cloud-based Mobile Edge Computing (MEC) offloading framework in vehicular networks. In the framework, efficient computation offloading strategies are designed through a contract theoretic approach. We obtain the optimal feasible contracts that maximize the benefit of the MEC service provider while enhancing the utilities of the vehicles. Furthermore, considering the resource limitation of the MEC server and the latency tolerance of the computation tasks, we propose a contract-based computation resource allocation scheme. Numerical results show that our proposed scheme greatly enhances the utility of the MEC service provider. ©2016 IEEE 

  • 188.
    Zhang, Ke
    et al.
    School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
    Mao, Yuming
    School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
    Leng, Supeng
    School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
    Zeng, Ming
    School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
    Xu, Liang
    School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
    Jiang, Li
    Beijing University of Posts and Telecommunications, Beijing, China.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Optimal energy exchange schemes in smart grid networks: A contract theoretic approach2016In: 2016 IEEE/CIC International Conference on Communications in China (ICCC), Piscataway, NJ: IEEE, 2016, article id 7636834Conference paper (Refereed)
    Abstract [en]

    Vehicle-to-Grid (V2G) is a promising paradigm to alleviate energy supply and demand imbalance of the grid. To further improve the power transmission efficiency, in this paper, we propose a cloudlet-based Vehicle-to-Vehicle (V2V) energy exchange framework. In the framework, the Energy Switch Center (ESC) serves as a trading broker, which purchases electricity from discharging vehicles and then resells it to the charging ones without energy transmission on the grid. The energy trading process is modeled in a contract theoretic approach. We derive the optimal feasible contracts which maximize the profit of the ESC. Furthermore, we systematically study the practical scenario where both the charging demand and renewable energy supplement are random variables, and propose a practical optimal contract-based electricity purchase scheme. Simulation results show that the proposed scheme can efficiently increase the profit of the ESC than the other mechanisms. © 2016 IEEE.

  • 189.
    Zhuang, Weihua
    et al.
    University of Waterloo, Ontario, Canada.
    Jamalipour, Abbas
    University of Sydney, Sydney, New South Wales, Australia.
    Bai, Fan
    Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Emerging Technologies, Applications, and Standardizations for Connecting Vehicles: [From the Guest Editors]2015In: IEEE Vehicular Technology Magazine, ISSN 1556-6072, E-ISSN 1556-6080, Vol. 10, no 4, p. 33-35Article in journal (Refereed)
    Abstract [en]

    The articles in this special section focus on the state of the art in the emerging technology for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications, the latest development in standardizations and regulations, and potential services and applications for vehicles on roads. © Copyright 2015 IEEE

  • 190.
    Zhuang, Weihua
    et al.
    Department of Electrical and Computer Engineering, University of Waterloo, ON, Canada.
    Jamalipour, Abbas
    University of Sydney, Sidney, Australia.
    Bai, Fan
    Caign, Universitarnegie Mellon University, University of Illinois at Urbana-Champy of Southern California, United States.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Emerging Technologies, Applications, and Standardizations for Connecting Vehicles (Part II)2017In: IEEE Vehicular Technology Magazine, ISSN 1556-6072, E-ISSN 1556-6080, Vol. 12, no 2, p. 23-25Article in journal (Other (popular science, discussion, etc.))
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