• DocumentCode
    3010134
  • Title

    Variable Area Routing Protocol in WSNs: A Hybrid, Energy-Efficient Approach

  • Author

    Choi, Dongmin ; Moh, Sangman ; Chung, Ilyong

  • Author_Institution
    Dept. of Comput. Sci., Chosun Univ., Gwangju
  • fYear
    2008
  • fDate
    25-27 Sept. 2008
  • Firstpage
    397
  • Lastpage
    403
  • Abstract
    In sensor networks, clustering protocol such as LEACH is an efficient method to increase whole networks lifetime. However, this protocol result in high energy consumption at the cluster head node. Hence, this protocol must changes the cluster formation and cluster head node in each round to prolong the network lifetime. But this method also causes a high amount of energy consumption during the set-up process of cluster formation. In order to improve energy efficiency, in this paper, we propose a new cluster formation algorithm named EEVAR (an Energy Efficient Variable Area Routing protocol). This scheme decreases unnecessary repetitious set-up process and prolongs steady-state process. As a result of analysis and comparison, our scheme reduces energy consumption of nodes, and improve the efficiency of communications in sensor networks compared with current clustering methods.
  • Keywords
    routing protocols; telecommunication network reliability; wireless sensor networks; LEACH; clustering protocol; energy efficient variable area routing protocol; network lifetime; steady-state process; wireless sensor network; Aggregates; Clustering algorithms; Clustering methods; Computer science; Energy consumption; Energy efficiency; High performance computing; Routing protocols; Steady-state; Wireless sensor networks; LEACH; Sensor network; routing protocol;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-0-7695-3352-0
  • Type

    conf

  • DOI
    10.1109/HPCC.2008.97
  • Filename
    4637724