Minimizing Data Collection Time With Collaborative UAVs in Wireless Sensor Networks

被引:58
|
作者
Wang, Yue [1 ]
Hu, Zhiqun [2 ]
Wen, Xiangming [1 ]
Lu, Zhaoming [1 ]
Miao, Jiansong [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing Key Lab Network Syst Architecture & Conve, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
[2] Hubei Univ, Sch Comp & Informat Engn, Wuhan 430062, Peoples R China
来源
IEEE ACCESS | 2020年 / 8卷 / 08期
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
Data collection; Wireless sensor networks; Unmanned aerial vehicles; Sensor systems; Task analysis; Data models; UAV; data collection; trajectory optimization; traveling salesman problem; ASSOCIATION; HETNETS;
D O I
10.1109/ACCESS.2020.2996665
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Unmanned aerial vehicle (UAV) data collection is a promising research direction that can be applied to many practical scenarios. Due to the limited energy of sensors in wireless sensor networks (WSN), UAV, which is considered as a mobile fusion center, can effectively prolong the lifetime of sensor via supporting communication with the sensor directly. However, since the UAV & x2019;s energy constrained, it is necessary that multiple UAVs provide data collection to sensors in large areas. In this paper, we consider a scenario where multiple UAVs collect data from a set of two-dimensional distributed sensors. The UAV can communicate with sensors while flying or hovering. The goal is to minimize the total time that all UAVs from data center and return to data center after completing all collection tasks, while giving each sensor a certain amount of data and energy. The problem of minimizing the task completion time of multiple UAVs is still a big challenge. We solve the multi-UAV problem by jointly optimizing UAV-sensor association mechanism and data collection method of UAVs. The numerical results show that the proposed multi-UAV data collection scheme shortens the task completion time.
引用
收藏
页码:98659 / 98669
页数:11
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