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Modeling of a UAV-based Data Collection System
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-4416-7702
2017 (English)In: 2017 IEEE 22ND INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD), IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

Unmanned Aerial Vehicles (UAVs) have been extensively studied the past years for various applications. In this work, we propose a Markov chain to model the movement of a single FAY deployed for data collection from remote sensors. Furthermore, we introduce a second Markov chain to model the irregularities of the UAVs movement when it is in transit. We investigate the impact of the distance of the FAV from the sensor on the success probability of information transmission. We provide numerical evaluation of the theoretical results.

Place, publisher, year, edition, pages
IEEE , 2017.
Series
IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, ISSN 2378-4865
Keywords [en]
UAV; Discrete Time Markov Chain; Sensor network; Mobility Modeling; Data Collection
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-147967DOI: 10.1109/CAMAD.2017.8031526ISI: 000431390400005ISBN: 978-1-5090-6302-4 (print)OAI: oai:DiVA.org:liu-147967DiVA, id: diva2:1209436
Conference
IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)
Note

Funding Agencies|CUGS the National Graduate School in Computer Science, Sweden; EU Project H2020 DECADE [645705]

Available from: 2018-05-23 Created: 2018-05-23 Last updated: 2019-05-09

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