东南大学学报（英文版）2020，Vol.36Issue(4)：376-384,9.DOI:10.3969/j.issn.1003-7985.2020.04.002
无线传感网数据收集UAV航迹规划算法
UAV trajectory planning algorithm for data collection in wireless sensor networks
摘要
Abstract
In order to maximize the value of information(Vol)of collected data in unmanned aerial vehicle(UAV)-aided wireless sensor networks(WSNs),a UAV trajectory planning algorithm named maximum Vol first and successive convex approximation(MVF-SCA)is proposed.First,the Rician channel model is adopted in the system and sensor nodes(SNs)are divided into key nodes and common nodes.Secondly,the data collection problem is formulated as a mixed integer non-linear program(M1NLP)problem.The problem is divided into two sub-problems according to the different types of SNs to seek a sub-optimal solution with a low complexity.Finally,the MVF-SCA algorithm for UAV trajectory planning is proposed,which can not only be used for daily data collection in the target area,but also collect time-sensitive abnormal data in time when the exception occurs.Simulation results show that,compared with the existing classic traveling salesman problem(TSP)algorithm and greedy path planning algorithm,the Vol collected by the proposed algorithm can be improved by about 15％to 30％.关键词
无人机/无线传感网/航迹规划/数据收集/信息价值Key words
unmanned aerial vehicle/wireless sensor networks/trajectory planning/data collection/value of infor-mation分类
信息技术与安全科学引用本文复制引用
燕锋,陈佳慧,武涛,李昊,庞井明,刘万柱,夏玮玮,沈连丰..无线传感网数据收集UAV航迹规划算法[J].东南大学学报（英文版）,2020,36(4):376-384,9.基金项目
Foundation items:The National Key R&D Program of China(No.2018YFB1500800),the Specialized Development Foundation for the Achievement Transformation of Jiangsu Province(No.BA2019025),Pre-Research Fund of Science and Technology on Near-Surface Detec-tion Laboratory(No.6142414190405),the Open Project of the Key La-boratory of Wireless Sensor Network&Communication of Shanghai In-stitute of Microsystem and Information Technology,Chinese Academy of Sciences(No.20190907). （No.2018YFB1500800）
