Hybrid WSN Node Deployment Optimization Strategy Based on CS Algorithm

被引:2
|
作者
Xiang, Tingli [1 ]
Wang, Hongjun [1 ]
Shi, Yingchun [1 ]
机构
[1] Natl Univ Def Technol, Hefei, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
wireless sensor network; hybrid sensor network; cuckoo search; coverage;
D O I
10.1109/itnec.2019.8729481
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The performance of wireless sensor network (WSN) system is significantly affected by the coverage quality. For the problem of low coverage of static sensor network nodes and high deployment cost of mobile sensor network nodes, a hybrid sensor network based on cuckoo search (CS) is studied. Node deployment optimization strategy. Firstly, the candidate target position of the mobile node is initially determined by the CS algorithm, and then the position optimization scheme is used to reduce the number of mobile nodes and the average moving distance. The experimental results show that the proposed algorithm can effectively optimize the deployment of mobile nodes in hybrid WSN, improve the coverage of target areas, and reduce the energy consumption of nodes.
引用
收藏
页码:621 / 625
页数:5
相关论文
共 50 条
  • [31] Optimization of WSN localization algorithm based on improved multi-strategy seagull algorithm
    Yu, Xiuwu
    Liu, Yinhao
    Liu, Yong
    TELECOMMUNICATION SYSTEMS, 2024, 86 (03) : 547 - 558
  • [32] Investigations on Lifetime and Energy Optimization of WSN based on Hybrid Clustering Algorithm
    Vasudha
    Bhola, Anoop
    PROCEEDINGS OF THE 2019 6TH INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2019, : 932 - 937
  • [33] WSN node localization algorithm based on SA algorithm
    Chen, Qiao
    Bai, Yudong
    INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4, 2013, 263-266 : 2248 - 2251
  • [34] Optimization Analysis of WSN Location Process Based on Hybrid PSO Algorithm
    Liu, Silin
    PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON UNMANNED SYSTEMS (ICUS), 2017, : 78 - 80
  • [35] Research on a hexagonal lattice optimal clustering routing algorithm based on hybrid CS for WSN
    Cui, Can
    Sun, Yi
    Lu, Jun
    Hao, Jian-Hong
    Tongxin Xuebao/Journal on Communications, 2016, 37 (05): : 176 - 183
  • [36] Virtual Force and Glowworm Swarm Optimization Based Node Deployment Strategy for WSNs
    Wang, Jin
    Cao, Yiquan
    Cao, Jiayi
    Ji, Huan
    Yu, Xiaofeng
    ADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING, 2017, 421 : 456 - 462
  • [37] A Particle Swarm Optimization and Mutation Operator Based Node Deployment Strategy for WSNs
    Wang, Jin
    Ju, Chunwei
    Ji, Huan
    Youn, Geumran
    Kim, Jeong-Uk
    CLOUD COMPUTING AND SECURITY, PT I, 2017, 10602
  • [38] Development of Hybrid Algorithm for Masquerading Sink Node Location in WSN
    Sindhudhar, K. L.
    Premananda, B. S.
    EMERGING RESEARCH IN ELECTRONICS, COMPUTER SCIENCE AND TECHNOLOGY, ICERECT 2018, 2019, 545 : 139 - 148
  • [39] A Node Deployment Optimization Algorithm of WSNs Based on Improved Moth Flame Search
    Yao, Yindi
    Hu, Shanshan
    Li, Ying
    Wen, Qin
    IEEE SENSORS JOURNAL, 2022, 22 (10) : 10018 - 10030
  • [40] A Particle Swarm Optimization Algorithm for Deployment of Sensor Nodes in WSN Network
    Liang, Jie
    Wang, Lu
    Ji, Qingchang
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2022, 2022