• DocumentCode
    2929447
  • Title

    A Clustering and Routing Algorithm with Combination Weight for Energy Consumption Balance of WSNs

  • Author

    Zhang Jin-rong ; Wang Yue ; Wang Dong ; Han Jing

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Chongqing Univ. of Technol., Chongqing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    18-20 Nov. 2009
  • Firstpage
    230
  • Lastpage
    233
  • Abstract
    As sensor nodes are typically powered by non-renewable batteries, energy efficiency is a critical factor in wireless sensor networks (WSNs). And prolonging the lifetime for nodes and the total network is a critical issue. In this paper, a combination weight energy balance clustering and routing algorithm (CW-EBCR) is proposed. This algorithm takes into consideration the following elements: the node degree and energy level, the average distance between node and its neighbors, the accumulative time of node being cluster head, the distance to sink and the optimal cluster number. Then a regulating rule of cluster communication radius and a method of selecting redundancy substitute of cluster head are developed. At the same time, the self-maintenance tactics of cluster is put forward. Simulation and analysis show that this algorithm can make energy balanced both in inner-cluster and in inter-clusters, can prolong the network life time.
  • Keywords
    telecommunication network routing; wireless sensor networks; WSN; cluster head; clustering algorithm; energy consumption balance; network life time; non-renewable batteries; routing algorithm; self-maintenance tactics; sensor nodes; Algorithm design and analysis; Analytical models; Batteries; Clustering algorithms; Computer security; Energy consumption; Energy efficiency; Monitoring; Routing protocols; Wireless sensor networks; WSN; energy; networks; sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3843-3
  • Electronic_ISBN
    978-1-4244-5068-8
  • Type

    conf

  • DOI
    10.1109/MINES.2009.193
  • Filename
    5370122