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Priority-based data collection for UAV-aided Mobile Sensor Network

Abstract : In this work, we study data collection in multiple unmanned aerial vehicle (UAV) 1 aided mobile wireless sensor networks (WSNs). The network topology is changing due to the 2 mobility of the UAVs and the sensor nodes, the design of efficient data collection protocols 3 is a major concern. We address such high dynamic network and propose two mechanisms: 4 prioritized-based contact-duration frame selection mechanism (called PCdFS mechanism), and 5 prioritized-based multiple contact-duration frame selection mechanism (called PMCdFS mechanism) 6 to build collision-free scheduling and balance the nodes between the multi-UAV respectively. Based 7 on the two mechanisms, we proposed a Balance algorithm to conduct the collision-free communication 8 between the mobile nodes and the multi-UAVs. Two key design ideas for Balance algorithm are: (a) 9 no need of higher priority for those nodes that have lower transmission rate between them and the 10 UAV and (b) improve the communication opportunity for those nodes that have shorter contact 11 duration with the UAVs. We demonstrate the performance of proposed algorithms through extensive 12 simulations, and real experiments. These experiments using 15 mobile nodes at a path with 10 13 intersections and 1 island, presents that the network fairness is efficiently enhanced. We also confirm 14 the applicability of proposed algorithms in a challenging and realistic scenario through numerous 15 experiments on a path in Tongji campus in Shanghai, China. 16
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Submitted on : Monday, May 25, 2020 - 12:34:42 PM
Last modification on : Monday, July 4, 2022 - 10:18:37 AM


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Xiaoyan Ma, Tianyi Liu, Song Liu, Rahim Kacimi, Riadh Dhaou. Priority-based data collection for UAV-aided Mobile Sensor Network. Sensors, MDPI, inPress, pp.1-24. ⟨10.3390/s20113034⟩. ⟨hal-02617533⟩



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