• DocumentCode
    1926237
  • Title

    Error Analysis of Scheduling Sleeping Nodes in Wireless Sensor Networks

  • Author

    Peng, Miao ; Xiao, Yang

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    359
  • Lastpage
    366
  • Abstract
    The sleeping technique is one of the most popular ways to save energy of battery powered sensor nodes. Many existing researches on sleeping technique are based on the pre-knowledge of sensor nodes deployment, e.g., a known probability distribution of sensor nodes in the target sensing field. Thus, whether or not a scheduling sleeping scheme has a good performance mostly depend upon the pre-knowledge of sensor nodes deployment. In this paper, we show the discrepancy of scheme performances including energy consumption and network lifetime based on inaccurate pre-knowledge of sensor deployment. Through the analytical studies, we conclude that the discrepancy is very large and can not be neglected. We hence propose a distribution-free approach to study energy consumption. In our approach, no assumption of probability distribution of sensor node deployment is needed. The proposed approach has yielded good estimation of network energy consumption.
  • Keywords
    probability; scheduling; wireless sensor networks; battery powered sensor nodes; distribution-free approach; energy consumption; error analysis; network energy consumption; probability distribution; scheduling sleeping scheme; sensor nodes deployment; wireless sensor networks; Algorithm design and analysis; Batteries; Embedded software; Energy consumption; Error analysis; Performance analysis; Probability distribution; Scheduling; Sensor systems; Wireless sensor networks; Network Lifetime; energy consumption; probability distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Software and Systems, 2009. ICESS '09. International Conference on
  • Conference_Location
    Zhejiang
  • Print_ISBN
    978-1-4244-4359-8
  • Type

    conf

  • DOI
    10.1109/ICESS.2009.40
  • Filename
    5066669