• DocumentCode
    2099640
  • Title

    A Dynamic Clustering-Based Algorithm for Wireless Sensor Networks

  • Author

    Meng, Limin ; Zhou, Kai ; Hua, Jingyu ; Xu, Zhijiang

  • Author_Institution
    Coll. of Inf. Eng., Zhe Jiang Univ. of Technol., Hangzhou, China
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    720
  • Lastpage
    723
  • Abstract
    Wireless sensor networks (WSN) have recently emerged as a hot research topic. One of the most important concerns for WSN is energy. To obtain long lifetime, one potential method is to use clustering algorithm. Moreover, WSN should meet various requirements for quality of service (QoS). Accordingly, this paper presents an energy-aware QoS routing algorithm for WSN, which can also run efficiently with best-effort traffic. Furthermore, our work differs from existing algorithms in two ways: (1) improve the first order energy consumption model with dynamic clustering; (2) use clustering to build the multi-objectives programming model to support QoS. Simulations and comparisons with some typical route algorithms show that our algorithm is robust and effective.
  • Keywords
    quality of service; telecommunication network routing; telecommunication traffic; wireless sensor networks; WSN; dynamic clustering; energy consumption; energy-aware QoS routing algorithm; multiobjective programming model; network traffic; quality of service; wireless sensor network; Bandwidth; Clustering algorithms; Delay; Dynamic programming; Energy consumption; Energy dissipation; Heuristic algorithms; Quality of service; Routing; Wireless sensor networks; dynamic clustering; multi-objectives programming; quality of service; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.312
  • Filename
    4731724