• DocumentCode
    2175094
  • Title

    Modeling and Prolonging Techniques on Operational Lifetime of Wireless Sensor Networks

  • Author

    Jiang, Fuu-Cheng ; Yang, Chao-Tung ; Teng, Shih-Meng ; Wu, Hsiang-Wei ; Chiang, Yi-Ju

  • Author_Institution
    Dept. of Comput. Sci., Tunghai Univ., Taichung, Taiwan
  • fYear
    2010
  • fDate
    11-13 Dec. 2010
  • Firstpage
    6
  • Lastpage
    13
  • Abstract
    Power consumption is an essentially important issue and an interesting challenge to prolong the lifetime of wireless sensor network (WSN). Sensors closer to a sink node have a larger forwarding traffic burden and consume more energy than nodes further away from the sink. The whole operational lifetime of WSN is deteriorated because of such an uneven node power consumption patterns, leading to what is known as an energy hole problem (EHP) around the sink node. In this article, we propose a novel power-saving scheme to alleviate the EHP based on the Min(N, T) policy M/G/1 queuing model. With little management cost, the proposed queue-based power-saving technique can be applied to prolong the lifetime of sensor network economically and effectively. For the proposed queue-based model, mathematical framework on performance measures have been formulated. And also we analyze the average traffic load per node for concentric sensor network. Focusing on the nodes located in the innermost shell of WSN, numerical and NS2 network simulation results validate that the proposed approach indeed provides a feasibly cost-effective approach for lifetime elongation of sensor networks.
  • Keywords
    energy conservation; queueing theory; wireless sensor networks; concentric sensor network; energy hole problem; operational lifetime; power consumption; wireless sensor network; Power demand; Queueing analysis; Sensors; Servers; Telecommunication traffic; Turning; Wireless sensor networks; Wireless sensor networks; energy efficiency; energy hole problem; queuing theory; sink node;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2010 IEEE 13th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-9591-7
  • Electronic_ISBN
    978-0-7695-4323-9
  • Type

    conf

  • DOI
    10.1109/CSE.2010.11
  • Filename
    5692450