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  • 1. Ahlgren, Bengt
    et al.
    Hidell, Markus
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Internet of Things for smart cities: Interoperability and open data2016In: IEEE Internet Computing, ISSN 1089-7801, E-ISSN 1941-0131, Vol. 20, no 6, 52-56 p.Article in journal (Refereed)
  • 2. Chen, Feng
    et al.
    Tong, Xiaoyu
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Dressler, Falko
    Mode Switch: Adaptive use of delay-sensitive or energy-aware communication in IEEE 802.15.4-based networks2010In: Proc. 7th International Conference on Mobile Ad Hoc and Sensor Systems, Piscataway, NJ: IEEE , 2010, 302-311 p.Conference paper (Refereed)
  • 3.
    Ekberg, Pontus
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    A distributed swarm-intelligent localization for sensor networks with mobile nodes2011In: Proc. 7th International Wireless Communications and Mobile Computing Conference, Piscataway, NJ: IEEE , 2011, 83-88 p.Conference paper (Refereed)
    Abstract [en]

    We present a novel distributed localization algorithm, called Swarm-Intelligent Localization (SIL), for computing the physical locations of nodes in wireless sensor networks. The algorithm assumes that only a small fraction of the nodes have a priori knowledge of their positions, and that noisy distance measurements are available between all neighboring nodes. The algorithm has no explicit global state and it can handle nodes that are both mobile and that can arrive in the network at any time. SIL works in two different phases, a coarse phase where nodes compute rough positions for themselves based on information about remote anchors, and a fine phase where nodes iteratively refine their positions from the coarse phase by collaborating with their neighbors. The average computational complexity per node running SIL is very low, namely constant in the network size and linear in the connectivity of the network. We evaluate the algorithm through extensive simulations. The results indicate that SIL is able to compute accurate positions for the majority of nodes in a wide range of network topologies and settings, and that it can handle difficulties such as large distance measurement errors and low network connectivity.

  • 4.
    Elsts, Atis
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    A Case for Node-Local Runtime Parameter Adaptation in Wireless Sensor Networks2014In: Proc. 10th Swedish National Computer Networking Workshop, 2014Conference paper (Other academic)
    Abstract [en]

    The challenges posed to wireless sensor networks by the environments they are deployed cannot always be predicted beforehand. Therefore, adaptive behavior at the run-time may be required to achieve good reliability and energy-efficiency. We present a node-local runtime adaptation algorithm that adapts the over-the-air message encoding based on presence of weak links and external interference in the immediate neighborhood of the node. Evaluation with a network simulator shows that this algorithm leads to significant network-wide reduction of radio duty cycle under specific radio transmission failure models.

  • 5. Gelenbe, Erol
    et al.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Adaptive random re-routing for differentiated QoS in sensor networks2010In: Computer journal, ISSN 0010-4620, E-ISSN 1460-2067, Vol. 53, no 7, 1052-1061 p.Article in journal (Refereed)
  • 6. Gelenbe, Erol
    et al.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Adaptive QoS Routing for Significant Events in Wireless Sensor Networks2008In: Proc. 5th International Conference on Mobile Ad Hoc and Sensor Systems, Piscataway, NJ: IEEE , 2008, 410-415 p.Conference paper (Refereed)
  • 7. Guerreiro, João
    et al.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Rohner, Christian
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Privacy-aware probabilistic sampling for data collection in wireless sensor networks2011In: Proc. 7th International Wireless Communications and Mobile Computing Conference, Piscataway, NJ: IEEE conference proceedings, 2011, 314-319 p.Conference paper (Refereed)
    Abstract [en]

    The rising popularity of web services and their applications to sensor networks enables real-time data collection and queries by users. Unlike traditional periodic data collection, the traffic patterns generated from real-time data collection may expose the interests of users or the locations of unusual events to the attackers. To provide privacy in data collection, we propose a novel probabilistic sampling mechanism that can hide user queries and unusual events in the network, while supporting both routine and on-demand data reporting. Our goal is to prevent attackers from locating the unusual events and identifying interests of users by eavesdropping and analyzing the network traffic. In our probabilistic sampling scheme, the data are carefully reported at random times in order to mask the unusual events and user queries. In the meantime, our scheme can provide users with high data accuracy at minimized communication overheads. Extensive simulations have been conducted to evaluate the security strength, data accuracy and communication overheads of the proposed scheme.

  • 8.
    Hassani Bijarbooneh, Farshid
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Du, Wei
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Fu, Xiaoming
    Liu, Jiangchuan
    Cloud-assisted data fusion and sensor selection for Internet of Things2016In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 3, no 3, 257-268 p.Article in journal (Refereed)
  • 9.
    Hassani Bijarbooneh, Farshid
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Du, Wei
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Fu, Xiaoming
    Energy-efficient sensor selection for data quality and load balancing in wireless sensor networks2014In: Proc. 22nd International Symposium on Quality of Service, IEEE Communications Society, 2014, 338-343 p.Conference paper (Refereed)
  • 10.
    Hassani Bijarbooneh, Farshid
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Flener, Pierre
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Pearson, Justin
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    An optimisation-based approach for wireless sensor deployment in mobile sensing environments2012In: Proc. Wireless Communications and Networking Conference 2012, IEEE Communications Society, 2012, 2108-2112 p.Conference paper (Refereed)
  • 11.
    Hassani Bijarbooneh, Farshid
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Flener, Pierre
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Pearson, Justin
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Energy-efficient task mapping for data-driven sensor network macroprogramming using constraint programming2011In: Operations Research, Computing, and Homeland Defense, Hanover, MD: Institute for Operations Research and the Management Sciences , 2011, 199-209 p.Conference paper (Refereed)
  • 12.
    Hassani Bijarbooneh, Farshid
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Flener, Pierre
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Pearson, Justin
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Energy-efficient task-mapping for data-driven sensor network macroprogramming using constraint programming2010In: Proc. 9th International Workshop on Constraint Modelling and Reformulation, Uppsala, Sweden: Department of Information Technology, Uppsala University , 2010, 13- p.Conference paper (Other academic)
  • 13.
    Hassani Bijarbooneh, Farshid
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Flener, Pierre
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Pearson, Justin
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Optimising quality of information in data collection for mobile sensor networks2013In: Proc. 21st International Symposium on Quality of Service, IEEE Communications Society, 2013, 163-172 p.Conference paper (Refereed)
  • 14.
    Hermans, Frederik
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    McNamara, Liam
    Sörös, Gábor
    Rohner, Christian
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    FOCUS: Robust visual codes for everyone2016In: Proc. 14th International Conference on Mobile Systems, Applications, and Services, New York: ACM Press, 2016, 319-332 p.Conference paper (Refereed)
  • 15.
    Hermans, Frederik
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    McNamara, Liam
    Swedish Institute of Computer Science.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Rohner, Christian
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Gunningberg, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Supporting Heterogeneous LCD/Camera Links2014In: Proc. 13th International Symposium on Information Processing in Sensor Networks, Piscataway, NJ: IEEE Press, 2014, 289-290 p.Conference paper (Refereed)
  • 16.
    Hermans, Frederik
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Gunningberg, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Mobile Sources in an Information-Centric Network with Hierarchical Names: An Indirection Approach2011In: Proc. 7th Swedish National Computer Networking Workshop, 2011Conference paper (Refereed)
  • 17.
    Hermans, Frederik
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Gunningberg, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Global Source Mobility in the Content-Centric Networking Architecture2012In: Proc. 1st ACM Workshop on Emerging Name-Oriented Mobile Networking Design: Architecture, Algorithms, and Applications, New York: ACM Press, 2012, 13-18 p.Conference paper (Refereed)
  • 18.
    Hermans, Frederik
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Rensfelt, Olof
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Gunningberg, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Larzon, Lars-Åke
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Sensei-UU — a relocatable WSN testbed supporting repeatable node mobility2011In: Testbeds and Research Infrastructures: Development of Networks and Communities, Berlin: Springer-Verlag , 2011, 612-614 p.Conference paper (Refereed)
  • 19.
    Hermans, Frederik
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Rensfelt, Olof
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Nordén, Lars-Åke
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Gunningberg, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    SoNIC: Classifying interference in 802.15.4 sensor networks2013In: Proc. 12th International Conference on Information Processing in Sensor Networks, New York: ACM Press, 2013, 55-66 p.Conference paper (Refereed)
  • 20. Hu, Wenyan
    et al.
    Hu, Xiping
    Deng, Jun-qi
    Zhu, Chunsheng
    Fotopoulos, Georgios
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Leung, Victor C. M.
    Mood-Fatigue Analyzer: Towards context-aware mobile sensing applications for safe driving2014In: Proc. 1st ACM Workshop on Middleware for Context-Aware Applications in the IoT, New York: ACM Press, 2014, 19-24 p.Conference paper (Refereed)
  • 21. Hu, Xiping
    et al.
    Chu, Terry H. S.
    Leung, Victor C. M.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Kruchten, Philippe
    Chan, Henry C. B.
    A survey on mobile social networks: Applications, platforms, system architectures, and future research directions2015In: IEEE Communications Surveys and Tutorials, ISSN 1553-877X, E-ISSN 1553-877X, Vol. 17, no 3, 1557-1581 p.Article, review/survey (Refereed)
  • 22. Hu, Xiping
    et al.
    Deng, Jun-qi
    Hu, Wenyan
    Fotopoulos, Georgios
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Sheng, Zhengguo
    Liang, Min
    Li, Xitong
    Leung, Victor C. M.
    Fels, Sidney
    SAfeDJ Community: Situation-aware in-car music delivery for safe driving2014In: Proc. 20th International Conference on Mobile Computing and Networking, New York: ACM Press, 2014, 363-365 p.Conference paper (Refereed)
  • 23. Hu, Xiping
    et al.
    Deng, Junqi
    Zhao, Jidi
    Hu, Wenyan
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Wang, Renfei
    Shen, Johnny
    Liang, Min
    Li, Xitong
    Leung, Victor C. M.
    Kwok, Yu-Kwong
    SAfeDJ: A crowd-cloud codesign approach to situation-aware music delivery for drivers2015In: ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), ISSN 1551-6857, E-ISSN 1551-6865, Vol. 12, no 1s, 21:1-24 p., 21Article in journal (Refereed)
    Abstract [en]

    Driving is an integral part of our everyday lives, but it is also a time when people are uniquely vulnerable. Previous research has demonstrated that not only does listening to suitable music while driving not impair driving performance, but it could lead to an improved mood and a more relaxed body state, which could improve driving performance and promote safe driving significantly. In this article, we propose SAfeDJ, a smartphone-based situation-aware music recommendation system, which is designed to turn driving into a safe and enjoyable experience. SAfeDJ aims at helping drivers to diminish fatigue and negative emotion. Its design is based on novel interactive methods, which enable in-car smartphones to orchestrate multiple sources of sensing data and the drivers' social context, in collaboration with cloud computing to form a seamless crowdsensing solution. This solution enables different smartphones to collaboratively recommend preferable music to drivers according to each driver's specific situations in an automated and intelligent manner. Practical experiments of SAfeDJ have proved its effectiveness in music-mood analysis, and mood-fatigue detections of drivers with reasonable computation and communication overheads on smartphones. Also, our user studies have demonstrated that SAfeDJ helps to decrease fatigue degree and negative mood degree of drivers by 49.09% and 36.35%, respectively, compared to traditional smartphone-based music player under similar driving situations.

  • 24. Hu, Xiping
    et al.
    Li, Xitong
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Leung, Victor C. M.
    Kruchten, Philippe
    Multidimensional context-aware social network architecture for mobile crowdsensing2014In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 52, no 6, 78-87 p.Article in journal (Refereed)
  • 25. Hu, Xiping
    et al.
    Li, Xitong
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Zhao, Jidi
    Leung, Victor C. M.
    Nasiopoulos, Panos
    Health Drive: Mobile healthcare onboard vehicles to promote safe driving2015In: Proc. 48th Hawaii International Conference on System Sciences, IEEE Computer Society, 2015, 3074-3083 p.Conference paper (Refereed)
  • 26. Huang, He
    et al.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Liu, Jiangchuan
    A location-based publish/subscribe framework for wireless sensors and mobile phones2012In: Proc. Wireless Communications and Networking Conference 2012, IEEE Communications Society, 2012, 2173-2178 p.Conference paper (Refereed)
  • 27. Humber, Gregory
    et al.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Quality-of-Information Aware Data Delivery for Wireless Sensor Networks: Description and Experiments2010In: Proc. Wireless Communications and Networking Conference 2010, Piscataway, NJ: IEEE , 2010, 6- p.Conference paper (Refereed)
  • 28. Kim, Younghun
    et al.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Srivastava, Mani B.
    Cooperative state estimation for preserving privacy of user behaviors in smart grid2011In: Proc. 2nd International Conference on Smart Grid Communications, Piscataway, NJ: IEEE , 2011, 178-183 p.Conference paper (Refereed)
  • 29. Leung, Victor C. M.
    et al.
    Liu, Jiangchuan
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Pan, Jianping
    Stouraitis, Thanos
    Editorial for QShine 2014 Special Issue2016In: Journal on spesial topics in mobile networks and applications, ISSN 1383-469X, E-ISSN 1572-8153, Vol. 21, no 3, 387-389 p.Article in journal (Other academic)
  • 30. Li, W.
    et al.
    Zhu, Chunsheng
    Yang, Laurence
    Shu, L.
    Ngai, Edith
    Ma, Y.
    Subtasks Scheduling for Distributed Robots in Cloud Manufacturings2015In: IEEE Systems Journal, ISSN 1932-8184, E-ISSN 1937-9234Article in journal (Refereed)
  • 31.
    Li, Wenxiang
    et al.
    Wuhan Univ Sci & Technol, Sch Informat Sci & Engn, Wuhan 430081, Peoples R China.;Wuhan Univ Sci & Technol, Minist Educ, Engn Res Ctr Met Automat & Detecting Technol, Wuhan, Peoples R China..
    Zhu, Chunsheng
    Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada..
    Ngai, Edith C. -H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Yang, Laurence T.
    St Francis Xavier Univ, Dept Comp Sci, Antigonish, NS B2G 2W5, Canada..
    Shu, Lei
    Guangdong Univ Petrochem Technol, Guangdong Prov Key Lab Petrochem Equipment Fault, Maoming 525000, Guangdong, Peoples R China..
    Sheng, Yuxia
    Wuhan Univ Sci & Technol, Sch Informat Sci & Engn, Wuhan 430081, Peoples R China.;Wuhan Univ Sci & Technol, Minist Educ, Engn Res Ctr Met Automat & Detecting Technol, Wuhan, Peoples R China..
    Facilities Collaboration in Cloud Manufacturing based on Generalized Collaboration Network2015In: Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, 2015, 298-303 p.Conference paper (Refereed)
    Abstract [en]

    In cloud manufacturing for regional industrial cluster, there is increasing necessity of collaboration among enterprises or facilities. It is valuable to explore the characteristics of these collaboration behaviors for effectively scheduling dispersed manufacturing facilities and organizing their collaboration. The collaborative relation of manufacturing in regional industrial cluster can be described as a generalized social collaboration network. In this paper, we introduce the relevant entities and relations of facilities collaboration, and propose the method for building Facility Collaboration Network (FCN). We further design the dynamically growing process of FCN for different facility selection strategies, including random selection, balanced selection, random selection with preference and balanced selection with preference. Based on the metrics such as network scale, node degree distribution, act degree distribution, average shortest distance and number of cliques, we present the statistical characteristics of FCN, and analyze relevant characteristics and laws for efficient facilities selection in cloud manufacturing.

  • 32.
    Li, Wenxiang
    et al.
    Wuhan Univ Sci & Technol, Minist Educ, Sch Informat Sci & Engn, Engn Res Ctr Met Automat & Detecting Technol, Wuhan 430081, Peoples R China..
    Zhu, Chunsheng
    Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada..
    Yang, Laurence T.
    St Francis Xavier Univ, Dept Comp Sci, Antigonish, NS B2G 2W5, Canada..
    Shu, Lei
    Guangdong Univ Petrochem Technol, Guangdong Prov Key Lab Petrochem Equipment Fault, Maoming 525000, Peoples R China..
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Ma, Yajie
    Wuhan Univ Sci & Technol, Minist Educ, Sch Informat Sci & Engn, Engn Res Ctr Met Automat & Detecting Technol, Wuhan 430081, Peoples R China..
    Subtask Scheduling for Distributed Robots in Cloud Manufacturing2017In: IEEE Systems Journal, ISSN 1932-8184, E-ISSN 1937-9234, Vol. 11, no 2, 941-950 p.Article in journal (Refereed)
    Abstract [en]

    Due to the limitation of capacity in an enterprise, cooperation among these enterprises is necessary to handle a complex production task. Cloud manufacturing (CMF) provides a cooperation platform for efficient utilization of distributed manufacturing resources in regional enterprise cluster. However, effective scheduling of tasks or subtasks to these resources is a challenging problem. Based on the analysis on the procedure of task processing, this paper proposes a CMF scheduling model for efficiently exploiting distributed resources, so industrial robots in different enterprises can cooperatively handle a batch of tasks. Specifically, this paper considers the performance of four robot deployment methods, including random deployment, robot-balanced deployment, function-balanced deployment, and location-aware deployment. Furthermore, three subtask-scheduling strategies are derived for three optimization objectives, including load-balance of robots, minimizing overall cost, and minimizing overall processing time. Moreover, these strategies are implemented by genetic algorithm. Simulation results demonstrate that each strategy can achieve the relevant optimization objective. In addition, the results also show that the physical distance between two enterprises can influence the overall cost, and location-aware deployment leads to smaller transportation cost. Location-aware deployment and function-balanced deployment lead to smaller overall processing time for the low-workload state and high-workload state of the system, respectively.

  • 33. Lin, Chuang
    et al.
    Ramakrishnan, Kadangode K.
    Liu, Jiangchuan
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Special Issue on Cloud Computing for IoT2016In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 3, no 3, 254-256 p.Article in journal (Other academic)
  • 34. Liu, Jiangchuan
    et al.
    Cao, Jiannong
    Li, Xiang-Yang
    Sun, Limin
    Wang, Dan
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Design, Implementation, and Evaluation of Wireless Sensor Network Systems2010In: EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1472, E-ISSN 1687-1499, 439890:1-2 p.Article, review/survey (Other academic)
  • 35. Liu, Qiang
    et al.
    Hu, Xiping
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Liang, Min
    Leung, Victor C. M.
    Cai, Zhiping
    Yin, Jianping
    A security patch addressing bandwidth request vulnerabilities in the IEEE 802.16 standard2016In: IEEE Network, ISSN 0890-8044, E-ISSN 1558-156X, Vol. 30, no 5, 26-34 p.Article in journal (Refereed)
  • 36.
    Liu, Xiaoyang
    et al.
    Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China.
    Song, Zheng
    Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Ma, Jian
    Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China.
    Wang, Wendong
    Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China.
    PM2.5 Monitoring using Images from Smartphones in Participatory Sensing2015Conference paper (Refereed)
    Abstract [en]

    Air pollution has become one of the most pressing environmental issues in many countries, including China. Fine-grained PM2.5 particulate data can prevent people from long time exposure and advance scientific research. However, existing monitoring systems with PM2.5 stationary sensors are expensive, which can only provide pollution data at sparse locations. In this paper we demonstrate for the first time that camera on smartphones can be used for low-cost and fine-grained PM2.5 monitoring in participatory sensing. We propose a LearningBased method to extract air quality related features from images taken by smartphones. These image features will be used to build the haze model that can estimate PM2.5 concentration depending on the reference sensors. We conducted extensive experiments over six months with two datasets to demonstrate the performance of the proposed solution using different models of smartphones. We believe that our findings will give profound impact in many research fields, including mobile sensing, activity scheduling, haze data collection and analysis.

  • 37.
    Liu, Xiuming
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Xi, Teng
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Data modelling with Gaussian process in sensor networks for urban environmental monitoring2016In: Proc. 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, IEEE Computer Society, 2016, 457-462 p.Conference paper (Refereed)
  • 38. Makvandian, Negar
    et al.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Seasonal Affective Disorder Monitoring System2012Conference paper (Refereed)
  • 39.
    Malik, Adeel Mohammad
    et al.
    Ericsson, Stockholm, Sweden..
    Ahlgren, Bengt
    SICS Swedish ICT, Kista, Sweden..
    Ohlman, Börje
    Ericsson, Stockholm, Sweden..
    Lindgren, Anders
    SICS Swedish ICT, Kista, Sweden..
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Klingsbo, Lukas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Lång, Magnus
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Experiences From A Field Test Using Icn For Live Video Streaming2015In: 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2015Conference paper (Refereed)
    Abstract [en]

    Information Centric Networking (ICN) aims to evolve the Internet from a host-centric to a data-centric paradigm. In particular, it improves performance and resource efficiency in events with large crowds where many users in a local area want to generate and watch media content related to the event. In this paper, we present the design of a live video streaming system built on the NetInf ICN architecture and how the architecture was adapted to support live streaming of media content. To evaluate the feasibility and performance of the system, extensive field tests were carried out over several days during a major sports event. We show that our system streams videos successfully with low delay and communication overhead compared with existing Internet streaming services, by scalability tests using emulated clients we also show that it could support several thousands of simultaneous users.

  • 40. Man, Yemao
    et al.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Energy-efficient automatic location-triggered applications on smartphones2014In: Computer Communications, ISSN 0140-3664, E-ISSN 1873-703X, Vol. 50, 29-40 p.Article in journal (Refereed)
  • 41.
    Man, Yemao
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Yang, Liu
    A glimpse of energy-efficient location-triggered mobile application design and implementation in data collection scenarios2012In: Proc. 8th International Conference on Mobile Ad Hoc and Sensor Networks, Piscataway, NJ: IEEE , 2012, 108-115 p.Conference paper (Refereed)
  • 42. McNamara, Liam
    et al.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    SADHealth: A personal mobile sensing system for seasonal health monitoring2017In: IEEE Systems Journal, ISSN 1932-8184, E-ISSN 1937-9234, Vol. 11Article in journal (Refereed)
  • 43. Mumey, Brendan
    et al.
    Xu, Gang
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Ubiquitous sensor data collection with mobile users2014In: Proc. 3rd International Conference on Computing, Networking and Communications, Piscataway, NJ: IEEE Press, 2014, 561-566 p.Conference paper (Refereed)
  • 44.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    On Providing Sink Anonymity for Sensor Networks2009In: Proc. 5th International Wireless Communications and Mobile Computing Conference, New York: ACM Press , 2009, 269-273 p.Conference paper (Refereed)
  • 45.
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    On providing sink anonymity for wireless sensor networks2016In: Security and Communication Networks, ISSN 1939-0114, E-ISSN 1939-0122, Vol. 9, no 2, 77-86 p.Article in journal (Refereed)
  • 46.
    Ngai, Edith C.-H.
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Brandauer, Stephan
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Shrestha, Amendra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Vandikas, Konstantinos
    Ericsson Res, Kista, Sweden..
    Personalized Mobile-Assisted Smart Transportation2016In: 2016 Digital Media Industry And Academic Forum (DMIAF), 2016, 158-160 p.Conference paper (Refereed)
    Abstract [en]

    Digital media covers larger parts of our daily lives nowadays. Mobile services enable a better connected society where citizens can easily access public services, discover events, and obtain important information in the city. We observe the popularity of mobile car sharing applications, such as Uber and Didi Dache. Mobile social applications provide new ways of developing and optimizing public transportation. In this paper, we present a mobile platform for timetable-free traveling. It can capture the traffic demand of citizens in real-time, and support efficient planning and scheduling for vehicles on-demand. At the moment, the platform is targeted for public bus services, but it has great potential to be extended for self-driving vehicles in the future.

  • 47.
    Ngai, Edith C.-H.
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Gelenbe, Erol
    Humber, Gregory
    Information-Aware Traffic Reduction for Wireless Sensor Networks2009In: Proc. 34th Conference on Local Computer Networks, Piscataway, NJ: IEEE , 2009, 451-458 p.Conference paper (Refereed)
  • 48.
    Ngai, Edith C.-H.
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Gunningberg, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Quality-of-Information aware data collection for mobile sensor networks2012In: Proc. 10th International Conference on Pervasive Computing and Communications Workshops, IEEE Communications Society, 2012, 38-43 p.Conference paper (Refereed)
  • 49.
    Ngai, Edith C.-H.
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Gunningberg, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Quality-of-information-aware data collection for mobile sensor networks2014In: Pervasive and Mobile Computing, ISSN 1574-1192, Vol. 11, 203-215 p.Article in journal (Refereed)
    Abstract [en]

    Quality of information (QoI) in sensor networks measures information attributes such as precision, timeliness, completeness, and relevance of data ultimately delivered to users. It is a challenge to provide the required QoI in mobile sensor networks given the large scale and complexity of the networks with heterogeneous mobile and sensing devices. In this paper, we provide a comprehensive study on major QoI metrics for mobile sensor networks and discuss how QoI-aware data collection can be achieved. The cases with mobile sensors, mobile sinks, and mobile mules carrying data and their impact on QoI are discussed in detail. Mobility creates challenges in terms of timeliness but also opportunities in increased coverage and relevance. In a case study, we design a QoI-aware publish/subscribe system for mobile sensor networks. Users can subscribe to obtain information about events of interest by specifying the target area, sensing context, etc. The subscriptions and the sensing data are delivered to relevant sensors and users by location-based routing. We also discuss techniques that can be applied to further enhance the QoI in our publish/subscribe system. Simulation results demonstrate that the users can receive their subscribed data successfully with low communication overhead. Our publish/subscribe system can also handle mobility of clients smoothly without causing any data loss.

  • 50.
    Ngai, Edith C.-H.
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Huang, He
    Liu, Jiangchuan
    Srivastava, Mani B.
    OppSense: Information sharing for mobile phones in sensing field with data repositories2011In: Proc. 8th IEEE Conference on Sensor, Mesh and Ad Hoc Communications and Networks, Piscataway, NJ: IEEE , 2011, 107-115 p.Conference paper (Refereed)
12 1 - 50 of 85
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