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Research on UAV-Aided WSNs Node Positioning Task Planning in Field Environment

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Abstract

In this paper, we present a strategy for node positioning in wireless sensor networks (WSNs) that uses unmanned aerial vehicles (UAVs) as auxiliary devices. Our strategy aims to overcome the high energy consumption, high cost, and low efficiency of traditional methods in field environments. First, we establish a communication coverage model for UAVs and determine the UAV positioning task points by dividing the task area. We further derive the UAV-aided WSN node positioning model. Then, according to the timeliness requirements of the task, we design single UAV and UAV group-aided WSNs positioning strategies. We analyze the UAV group formation change methods, establish optimization models based on positioning task efficiency and UAV energy efficiency, and then determine the optimal UAV formation change schemes for different situations. Finally, we propose a UAV group task planning algorithm, based on virtual trajectory and optimal formation change combination. We verify the feasibility of the proposed positioning method through actual experiments and test the effectiveness of the UAV task allocation strategy through simulation experiments.

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Authors and Affiliations

  1. State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Yudao Street, Nanjing, 210016, Jiangsu, China

    Hao Liu, Renwen Chen, Shanshan Ding, Zihao Jiang & Junyi Zhang

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  1. Hao Liu
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  2. Renwen Chen
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  3. Shanshan Ding
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  4. Zihao Jiang
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Liu, H., Chen, R., Ding, S. et al. Research on UAV-Aided WSNs Node Positioning Task Planning in Field Environment. Wireless Pers Commun 134, 1119–1152 (2024). https://doi.org/10.1007/s11277-024-10970-2

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