Flying Path Optimization of Rechargeable UAV for Data Collection in Wireless Sensor Networks

被引：0

作者：

Zhu, Yuchao ^{[1
]}

Wang, Shaowei ^{[1
]}

机构：

[1] Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210023, Peoples R China

来源：

IEEE SENSORS LETTERS | 2023年 / 7卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Autonomous aerial vehicles; Wireless sensor networks; Batteries; Sensors; Data collection; Task analysis; Heuristic algorithms; Sensor networks; data collection; path planning; unmanned aerial vehicle (UAV); wireless sensor network;

D O I：

10.1109/LSENS.2023.3237634

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this letter, we study a novel framework to realize efficient data collection from wireless sensor networks, where an unmanned aerial vehicle (UAV) is dispatched to collect the aggregated data from cluster heads and an unmanned ground vehicle carrying backup batteries moves along with the UAV to compensate for the shortage of UAV energy. Our optimization task is to minimize the mission time of a complete round of data collection, which is formulated as a coordinated traveling salesman problem with battery constraints and is solved by a heuristic path planning algorithm. Numerical results show that our proposal outperforms compared methods under appropriate configuration.

引用

页数：4