Energy Optimization Algorithm of Wireless Sensor Networks based on LEACH-B

被引:0
|
作者
Li, Peng [1 ,2 ]
Jiang, Wanyuan [1 ]
Xu, He [1 ,2 ]
Liu, Wei [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Coll Comp, Nanjing 210003, Jiangsu, Peoples R China
[2] Jiangsu High Technol Res Key Lab Wireless Sensor, Nanjing 210003, Jiangsu, Peoples R China
来源
ADVANCES ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING | 2017年 / 1卷
基金
中国博士后科学基金;
关键词
Wireless Sensor Networks; LEACH; BIRCH; energy optimization;
D O I
10.1007/978-3-319-49109-7_37
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Against to the problem that energy consumption unevenly in the wireless sensor network (WSN), we propose an optimized protocol LEACH-B on the basis of LEACH. In this paper, clustering and cluster head election method is improved. Firstly, the great convergence and global optimization capability of BIRCH algorithn can reasonably divide the entire network area into a plurality of sub-regions. Then, electing the cluster head taking the residual energy factor into account, in the sub-region. The experiment result shows that compared with the classic routing protocol LEACH, the LEACH-B can effectively balance the network load and improve the utilization of energy, so as to extend the network life cycle.
引用
收藏
页码:391 / 404
页数:14
相关论文
共 50 条
  • [41] TRUST based energy efficient routing in LEACH for wireless sensor network
    Miglani, Arzoo
    Bhatia, Tarunpreet
    Goel, Shivani
    2015 GLOBAL CONFERENCE ON COMMUNICATION TECHNOLOGIES (GCCT), 2015, : 357 - 361
  • [42] Improving Energy Usage in Wireless Sensor Networks by Whale Optimization Algorithm
    Strumberger, Ivana
    Bezdan, Timea
    Ivanovic, Milica
    Jovanovic, Luka
    2021 29TH TELECOMMUNICATIONS FORUM (TELFOR), 2021,
  • [43] A Novel Energy Optimization Approach for Wireless Sensor Networks
    Luo, Lianhe
    Bai, Yuebin
    Wu, Wei
    COMMUNICATION AND NETWORKING, 2009, 56 : 226 - +
  • [44] Energy Optimization Algorithm Based on Data Density Correlation in Wireless Sensor Network
    Jiang Wanyuan
    Li Peng
    Xu He
    Nie Huqing
    COMPLEX, INTELLIGENT, AND SOFTWARE INTENSIVE SYSTEMS, CISIS-2017, 2018, 611 : 589 - 598
  • [45] A Homology Based Coverage Optimization Algorithm for Wireless Sensor Networks
    Xiang, Lei
    Yan, Feng
    Zhu, Yaping
    Xia, Weiwei
    Shen, Fei
    Xing, Song
    Wu, Yi
    Shen, Lianfeng
    AD HOC NETWORKS, ADHOCNETS 2019, 2019, 306 : 288 - 301
  • [46] ECABBO: Energy-efficient clustering algorithm based on Biogeography optimization for wireless sensor networks
    Nomosudro, Purnima
    Mehra, Jyoti
    Naik, Chandra
    Shetty, Pushparaj D.
    PROCEEDINGS OF THE 2019 IEEE REGION 10 CONFERENCE (TENCON 2019): TECHNOLOGY, KNOWLEDGE, AND SOCIETY, 2019, : 828 - 834
  • [47] Coyote Optimization Based on a Fuzzy Logic Algorithm for Energy-Efficiency in Wireless Sensor Networks
    Mohamed, Asmaa
    Saber, Walaa
    Elnahry, Ibrahim
    Hassanien, Aboul Ella
    IEEE ACCESS, 2020, 8 : 185816 - 185829
  • [48] Energy Optimization in Wireless Sensor Networks Based on Genetic Algorithms
    Rodriguez, Angela
    Falcarin, Paolo
    Ordonez, Armando
    2015 SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS), 2015, : 470 - 474
  • [49] Energy Efficient Clustering Algorithm Based on Particle Swarm Optimization Technique for Wireless Sensor Networks
    Sathyapriya Loganathan
    Jawahar Arumugam
    Wireless Personal Communications, 2021, 119 : 815 - 843
  • [50] Simulation and analysis of LEACH for wireless sensor networks in agriculture
    Kamarudin, Latifah Munirah
    Ahmad, R. Badlishah
    Ndzi, David L.
    Zakaria, Ammar
    Kamarudin, Kamarulzaman
    Ahmed, Mohamed Elshaikh Elobaid Said
    INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2016, 21 (01) : 16 - 26