• DocumentCode
    2132523
  • Title

    An Interference Free Data Aggregation Protocol for Clustered Wireless Sensor Networks

  • Author

    Chen, Lei ; Zhao, Bao Hua

  • Author_Institution
    Deparment of Comput. Sci., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    1
  • fYear
    2008
  • fDate
    13-15 Dec. 2008
  • Firstpage
    35
  • Lastpage
    39
  • Abstract
    An interference free cluster-based TDMA protocol (IFCT) for wireless sensor networks was proposed in previous study. IFCT uses a distributed frame assignment algorithm (FA) to assign different frames for neighboring clusters. In this paper, we propose a interference-free data aggregation protocol (IFDA) for clustered based TDMA wireless sensor networks based on IFCT. IFDA alters the FA algorithm of IFCT and uses a channel expansion algorithm CE to increase average per cluster channel usage ratio. The expected message cost for both FA and CE algorithms of IFDA is O(1). The expected running time complexity for both FA and CE is bound to polynomial of D, where D is the maximum neighboring cluster count of a cluster. Simulation results show that FA algorithm of IFDA requires less message cost than that of IFCT. Besides, IFDA improves the average per cluster channel usage ratio by about 80%compared with IFCT.
  • Keywords
    computational complexity; time division multiple access; wireless sensor networks; channel expansion algorithm; channel usage ratio; clustered-based TDMA wireless sensor networks; distributed frame assignment algorithm; interference free cluster-based TDMA protocol; interference free data aggregation protocol; maximum neighboring cluster count; running time complexity; Clustering algorithms; Costs; Energy efficiency; Interference; Laboratories; Scheduling algorithm; Sensor fusion; Time division multiple access; Wireless application protocol; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3431-2
  • Type

    conf

  • DOI
    10.1109/FGCN.2008.42
  • Filename
    4734053