Coverage Optimization Strategy for WSN based on Energy-aware

被引:5
|
作者
Zhu, L. [1 ]
Fan, C. [1 ]
Wu, H. [2 ]
Wen, Z. [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing Key Lab Work Safety Intelligent Monitorin, Sch Elect Engn, 10 Xitucheng Rd, Beijing 100876, Peoples R China
[2] Minist Agr, Key Lab Informat Technol Agr, Natl Engn Res Ctr Informat Technol Agr, Room 316,Beijing Agr Sci & Technol Bldg A, Beijing 100097, Peoples R China
基金
中国国家自然科学基金;
关键词
WSN; coverage optimization; energy-aware; hole repair; sensing radius; WIRELESS SENSOR NETWORKS; DEPLOYMENT;
D O I
10.15837/ijccc.2016.6.2501
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to optimize the wireless sensor network coverage, this paper designs a coverage optimization strategy for wireless sensor network (EACS) based on energy-aware. Under the assumption that the geographic positions of sensor nodes are available, the proposed strategy consists of energy-aware and network coverage adjustment. It is restricted to conditions such as path loss, residual capacity and monitored area and according to awareness ability of sensors, it would adjust the monitored area, repair network hole and kick out the redundant coverage. The purpose is to balance the energy distribution of working nodes, reduce the number of "dead" nodes and balance network energy consumption. As a result, the network lifetime is expanded. Simulation results show that: EACS effectively reduces the number of working nodes, improves network coverage, lowers network energy consumption while ensuring the wireless sensor network coverage and connectivity, so as to balance network energy consumption.
引用
收藏
页码:877 / 888
页数:12
相关论文
共 50 条
  • [21] Tangent sine search optimization enabled energy prediction and SWIPT-based power transfer for energy-aware communication in WSN
    Masilamani, Anbarasi
    Krishnan, Santhi
    Singh, Brijendra
    T, T.
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2024, 37 (14)
  • [22] Energy Consumption Analysis and Design of Energy-Aware WSN Agents in fUML
    Berardinelli, Luca
    Di Marco, Antinisca
    Pace, Stefano
    Pomante, Luigi
    Tiberti, Walter
    MODELLING FOUNDATIONS AND APPLICATIONS, 2015, 9153 : 1 - 17
  • [23] Energy-aware multipath routing in WSN using improved invasive weed elephant herd optimization
    Vishal Sharad, Hingmire
    Desai, Santosh R.
    Krishnrao, Kanse Yuvraj
    INTERNATIONAL JOURNAL OF PERVASIVE COMPUTING AND COMMUNICATIONS, 2023, 19 (03) : 451 - 474
  • [24] Multiobjective Optimization Strategy of WSN Coverage Based on IPSO-IRCD
    Wu, Juan
    Li, Hongbing
    Luo, Lei
    Ou, Jun
    Zhang, Ying
    JOURNAL OF SENSORS, 2022, 2022
  • [25] Computational Intelligence Based Optimization of Energy Aware Routing in WSN
    Iram, Rabia
    Sheikh, Muhammad Irfan
    Jabbar, Sohail
    Minhas, Abid Ali
    WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, WCECS 2011, VOL I, 2011, : 457 - 462
  • [26] An energy-aware buffer management (EABM) routing protocol for WSN
    P. Jayarajan
    G. R. Kanagachidambaresan
    T. V. P. Sundararajan
    K. Sakthipandi
    R. Maheswar
    A. Karthikeyan
    The Journal of Supercomputing, 2020, 76 : 4543 - 4555
  • [27] Energy-Aware Process Design Optimization
    Cappiello, Cinzia
    Plebani, Pierluigi
    Vitali, Monica
    2013 IEEE THIRD INTERNATIONAL CONFERENCE ON CLOUD AND GREEN COMPUTING (CGC 2013), 2013, : 451 - 458
  • [28] Optimizing WSN Based Smart Irrigation Using Energy-Aware Cluster-Based Schemes
    Hassan, Emad S.
    Oshaba, Ahmed S.
    El-Emary, Atef
    WIRELESS PERSONAL COMMUNICATIONS, 2025, 140 (1-2) : 241 - 265
  • [29] Energy-aware neuro-fuzzy routing model for WSN based-IoT
    Jeevanantham, S.
    Rebekka, B.
    TELECOMMUNICATION SYSTEMS, 2022, 81 (03) : 441 - 459
  • [30] Energy-aware neuro-fuzzy routing model for WSN based-IoT
    S. Jeevanantham
    B. Rebekka
    Telecommunication Systems, 2022, 81 : 441 - 459