Coverage optimization strategy for multilayer mobile sensor network based on artificial bee colony algorithm

被引:0
|
作者
Zeng, Xia Ling [1 ]
机构
[1] Jiangxi Sci & Technol Normal Univ, Nanchang, Peoples R China
关键词
Coverage optimization; Artificial bee colony algorithm; Hierarchical; Sensor network; DYNAMIC DEPLOYMENT;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For the multi-layer structure of mobile sensor network, hierarchical mechanism is proposed to apply in artificial bee colony algorithm, in order to complete the deployment optimization of sensor nodes and to improve the network coverage ratio. Firstly the monitoring area is regionally divided according to equal proportions, and one sink node is deployed in each sub-region. Based on the network coverage optimization model, the sink nodes run an artificial bee colony algorithm to obtain the optimal deployment solution of sensor nodes. Results show that based on the coverage optimization strategy, the coverage ratio gradually increases as the number of mobile nodes increases, and when the iterations of the algorithm are only 300 the network coverage has quickly increased, showing a good coverage optimization performance.
引用
收藏
页码:429 / 433
页数:5
相关论文
共 50 条
  • [1] Sensor network sensing coverage optimization with improved artificial bee colony algorithm using teaching strategy
    Chao Lu
    Xunbo Li
    Wenjie Yu
    Zhi Zeng
    Mingming Yan
    Xiang Li
    [J]. Computing, 2021, 103 : 1439 - 1460
  • [2] Sensor network sensing coverage optimization with improved artificial bee colony algorithm using teaching strategy
    Lu, Chao
    Li, Xunbo
    Yu, Wenjie
    Zeng, Zhi
    Yan, Mingming
    Li, Xiang
    [J]. COMPUTING, 2021, 103 (07) : 1439 - 1460
  • [3] An Efficient Relocation Algorithm in Mobile Sensor Network Based on Improved Artificial Bee Colony
    Zheng, Wei
    Shu, Jian
    [J]. ADVANCES IN ELECTRONIC COMMERCE, WEB APPLICATION AND COMMUNICATION, VOL 1, 2012, 148 : 441 - 448
  • [4] An artificial bee colony algorithm with a balance strategy for wireless sensor network
    Zhu, Shuliang
    Pun, Chi-Man
    Zhu, Haipeng
    Li, Shujuan
    Huang, Xiaomei
    Gao, Hao
    [J]. APPLIED SOFT COMPUTING, 2023, 136
  • [5] Cluster optimization in wireless sensor network based on optimized Artificial Bee Colony algorithm
    Deepa, S. R.
    Rekha, D.
    [J]. IET NETWORKS, 2021, 10 (06) : 295 - 303
  • [6] Mobile Sink-Based Path Optimization Strategy in Wireless Sensor Networks Using Artificial Bee Colony Algorithm
    Lu, Yong
    Sun, Na
    Pan, Xiuqin
    [J]. IEEE ACCESS, 2019, 7 : 11668 - 11678
  • [7] Artificial Bee Colony Optimization Algorithm Based on Adaptive Evolution Strategy
    Zhang Q.
    Li P.-C.
    Wang M.
    [J]. Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2019, 48 (04): : 560 - 566
  • [8] A novel self-adaptive multi-strategy artificial bee colony algorithm for coverage optimization in wireless sensor networks
    Wang, Jin
    Liu, Ying
    Rao, Shuying
    Zhou, Xinyu
    Hu, Jinbin
    [J]. AD HOC NETWORKS, 2023, 150
  • [9] Optimization of Material Resource Allocation Strategy Based on Artificial Bee Colony Algorithm
    Weng, Huang
    Liu, Bo
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 255 - 256
  • [10] An Application of Wireless Sensor Network Routing based on Artificial Bee Colony Algorithm
    Okdem, Selcuk
    Karaboga, Dervis
    Ozturk, Celal
    [J]. 2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2011, : 326 - 330