• DocumentCode
    2837421
  • Title

    An efficient Energy Cluster-based Routing Protocol for wireless sensor networks

  • Author

    Xi-rong, Bao ; Zhi-tao, Qie ; Xue-Feng, Zhang ; Shi, Zhang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    4716
  • Lastpage
    4721
  • Abstract
    The primary energy and balance of energy consumption of wireless sensor networks (WSNs) plays a key role in network lifetime and stability. However, the energy of each node and the total energy in wireless sensor networks are limited. In this paper, an efficient energy cluster-based routing protocol (EECRP) for wireless sensor network is presented and its properties are investigated. Its core is that using an uneven clustering method to organize network topology and particle swarm optimization (PSO) algorithm to optimize the clusters, which can settle the problem of hot spot and blind nodes, separately. Simulation results show that the consumption energy of each node is effectively balanced. At the meantime, network lifetime is greatly increased using EECRP.
  • Keywords
    particle swarm optimisation; routing protocols; telecommunication network reliability; telecommunication network topology; wireless sensor networks; efficient energy cluster-based routing protocol; energy consumption; network lifetime; network stability; network topology; particle swarm optimization algorithm; uneven clustering method; wireless sensor network; Biosensors; Clustering algorithms; Clustering methods; Electronic mail; Energy consumption; Energy efficiency; Particle swarm optimization; Power engineering and energy; Routing protocols; Wireless sensor networks; particle swarm optimization; routing protocols; uneven clustering; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5194841
  • Filename
    5194841