Data collection of wireless sensor network based on trajectory optimization of laser-charged UAV  

作　　者：Chuanwen Luo Jian Zhang Jin Qian Yi Hong Zhibo Chen Yunan Hou Xiujuan Zhang Yuqing Zhu 

机构地区：[1]School of Information Science and Technology,Beijing Forestry University,Beijing 100083,China [2]Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration,Beijing 100083,China [3]College of Information Engineering,Taizhou University,Taizhou 225300,China [4]School of Computer Science,Qufu Normal University,Rizhao 276826,China [5]Research Center of Applied Mathematics and Machine Intelligence,Zhejiang Lab,Hangzhou 311121,China [6]Department of Computer Science,California State University,CA 90032,USA

出　　处：《High-Confidence Computing》2024年第2期116-128,共13页高置信计算（英文）

基　　金：supported by the National Natural Science Foundation of China(62202054 and 62002022)。

摘　　要：Unmanned Aerial Vehicle(UAV)can be used as wireless aerial mobile base station for collecting data from sensors in UAV-based Wireless Sensor Networks(WSNs),which is crucial for providing seamless services and improving the performance in the next generation wireless networks.However,since the UAV are powered by batteries with limited energy capacity,the UAV cannot complete data collection tasks of all sensors without energy replenishment when a large number of sensors are deployed over large monitoring areas.To overcome this problem,we study the Real-time Data Collection with Lasercharging UAV(RDCL)problem,where the UAV is utilized to collect data from a specified WSN and is recharged using Laser Beam Directors(LBDs).This problem aims to collect all sensory data from the WSN and transport it to the base station by optimizing the flight trajectory of UAV such that realtime data performance is ensured It has been proven that the RDCL problem is NP-hard.To address this,we initially focus on studying two sub-problems,the Trajectory Optimization of UAV for Data Collection(TODC)problem and the Charging Trajectory Optimization of UAV(CTO)problem,whose objectives are to find the optimal flight plans of UAV in the data collection areas and charging areas,respectively.Then we propose an approximation algorithm to solve each of them with the constant factor.Subsequently,we present an approximation algorithm that utilizes the solutions obtained from TODC and CTO problems to address the RDCL problem.Finally,the proposed algorithm is verified by extensive simulations.

关 键 词：Wireless sensor networks Laser-charged UAV Trajectory optimization Data collection 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]