• DocumentCode
    672097
  • Title

    A grid-based energy efficient routing protocol in Wireless Sensor Networks

  • Author

    Cunxiang Chen ; Zunwen He ; Hongmei Sun ; Jingming Kuang ; De-meng Bai ; Chenxi Yang

  • Author_Institution
    Res. Inst. of Commun. Technol., Beijing Inst. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    20-22 Nov. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Due to limited energy of Wireless Sensor Networks (WSNs), routing plays a crucial role in improving energy efficiency. The low-energy adaptive clustering hierarchy (LEACH) protocol is a classical solution to cut down energy cost, but it neglects residual energy of sensor nodes and long-range communication which causes low network coverage and high energy consumption. To avoid these shortcomings, we put forward a grid-based energy efficient routing protocol (GEERP) which focuses on three improvements: energy consumption, energy efficiency and network coverage. In GEERP, WSNs are divided into two levels: one is called secondary level grid (SG), which is formed by one cluster head (CH) and several cluster members (CMs); the other one is premier level grid (PG), which consists of nine adjacent SGs. In each round, CH is selected based on residual energy level of sensor nodes in a cluster. Then fused data of CH will be transmitted to sink node through multi-hop routing which is determined by minimum weight. Simulation results demonstrate that GEERP can not only balance network energy consumption of network but also can highly improve the network coverage.
  • Keywords
    energy conservation; routing protocols; wireless sensor networks; CH; CM; GEERP; LEACH protocol; PG; SG; WSN; cluster head; cluster member; energy consumption; grid-based energy efficient routing protocol; long-range communication; low-energy adaptive clustering hierarchy protocol; multihop routing; premier level grid; secondary level grid; wireless sensor network; Clustering algorithms; Energy consumption; Energy efficiency; Load modeling; Partitioning algorithms; Routing; Wireless sensor networks; coverage; energy efficiency; grid; multi-hop; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Pervasive Computing (ISWPC), 2013 International Symposium on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ISWPC.2013.6707444
  • Filename
    6707444