• DocumentCode
    817693
  • Title

    Nimble and adaptive time-division multiple access control phase algorithm for cluster-based wireless sensor networks

  • Author

    Ma, J. ; Yang, K. ; Ou, S.

  • Author_Institution
    Dept. of Electron. Syst. Eng., Univ. of Essex, Colchester
  • Volume
    1
  • Issue
    2
  • fYear
    2007
  • fDate
    4/1/2007 12:00:00 AM
  • Firstpage
    179
  • Lastpage
    186
  • Abstract
    Control phase plays a critical role in the performance of time-division multiple access (TDMA)-based networks. Within cluster-based wireless sensor networks, a nimble and adaptive control phase algorithm called NACPA to control the control phase of TDMA-based medium access control (MAC) in cluster-based sensor networks is proposed. This algorithm takes advantage of the wireless sensor hardware feature and presents a more accurate although simpler means to calculate the number of contention nodes in one round. On the basis of the analysis of the features of contention probability against the number of contention nodes, this algorithm can significantly reduce its computation complexity, rendering it practically feasible for resource-constrained sensor networks. Detailed analytical evaluation against two typical MAC algorithms (polling and carrier sense multiple access) is presented both in terms of packet transmission delay and average channel utilisation, the results of which, while also matching the simulation observation, have shown its effectiveness and efficiency.
  • Keywords
    adaptive control; channel allocation; packet radio networks; probability; telecommunication congestion control; time division multiple access; wireless sensor networks; MAC; NACPA; TDMA-based network; adaptive algorithm; channel utilization; cluster-based wireless sensor network; contention node; control phase; medium access control; nimble algorithm; packet transmission delay; probability; time-division multiple access;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com:20060127
  • Filename
    4167656