Integrated Clustering and Routing Design and Triangle Path Optimization for UAV-Assisted Wireless Sensor Networks  

作　　者：Shao Liwei Qian Liping Wu Mengru Wu Yuan 

机构地区：[1]College of Information Engineering,Zhejiang University of Technology,Hangzhou 310014,China [2]State Key Laboratory of Internet of Things for Smart City,University of Macao,Macao,China [3]Department of Computer and Information Science,University of Macao,Macao,China

出　　处：《China Communications》2024年第4期178-192,共15页中国通信（英文版）

基　　金：supported in part by National Natural Science Foundation of China under Grants 62122069, 62071431, 62072490 and 62301490;in part by Science and Technology Development Fund of Macao SAR, China under Grant 0158/2022/A;in part by the Guangdong Basic and Applied Basic Research Foundation (2022A1515011287);in part by MYRG202000107-IOTSC;in part by FDCT SKL-IOTSC (UM)-2021-2023

摘　　要：With the development of the Internet of Things(IoT),it requires better performance from wireless sensor networks(WSNs),such as larger coverage,longer lifetime,and lower latency.However,a large amount of data generated from monitoring and long-distance transmission places a heavy burden on sensor nodes with the limited battery power.For this,we investigate an unmanned aerial vehicles assisted mobile wireless sensor network(UAV-assisted WSN)to prolong the network lifetime in this paper.Specifically,we use UAVs to assist the WSN in collecting data.In the current UAV-assisted WSN,the clustering and routing schemes are determined sequentially.However,such a separate consideration might not maximize the lifetime of the whole WSN due to the mutual coupling of clustering and routing.To efficiently prolong the lifetime of the WSN,we propose an integrated clustering and routing scheme that jointly optimizes the clustering and routing together.In the whole network space,it is intractable to efficiently obtain the optimal integrated clustering and routing scheme.Therefore,we propose the Monte-Las search strategy based on Monte Carlo and Las Vegas ideas,which can generate the chain matrix to guide the algorithm to find the solution faster.Unnecessary point-to-point collection leads to long collection paths,so a triangle optimization strategy is then proposed that finds a compromise path to shorten the collection path based on the geometric distribution and energy of sensor nodes.To avoid the coverage hole caused by the death of sensor nodes,the deployment of mobile sensor nodes and the preventive mechanism design are indispensable.An emergency data transmission mechanism is further proposed to reduce the latency of collecting the latency-sensitive data due to the absence of UAVs.Compared with the existing schemes,the proposed scheme can prolong the lifetime of the UAVassisted WSN at least by 360%,and shorten the collection path of UAVs by 56.24%.

关 键 词：Monte-Las search strategy triangle path optimization unmanned aerial vehicles wireless sensor networks 

分 类 号：V279[航空宇航科学与技术—飞行器设计] TP212.9[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]