• DocumentCode
    175231
  • Title

    Evaluation of Sleep Scheduling Method for Data Collection from Sensor Networks Divided into Local Areas

  • Author

    Nakamura, M. ; Kimura, S.

  • Author_Institution
    Grad. Sch. of Syst. & Inf. Eng., Univ. of Tsukuba, Tsukuba, Japan
  • fYear
    2014
  • fDate
    2-4 July 2014
  • Firstpage
    316
  • Lastpage
    321
  • Abstract
    Various sleep scheduling methods have been proposed to achieve energy efficiency in wireless sensor networks. Although these methods can make most nodes sleep to save energy, they do not give adequate consideration to the amount of data originating in specific areas of the network. The authors proposed a sleep scheduling method that divided a sensor network into an adjustable number of areas to ensure that more than one node remained active in each area, but which required all nodes to be able to access the sink node. However, the conditions of simulation experiments displayed a problem in that all the active sensor nodes sent packets to the sink node at the same time. This paper reports how the problem was solved in fresh evaluations of the proposed method and shows that the proposed method also extends the network lifetime.
  • Keywords
    data communication; energy conservation; scheduling; telecommunication power management; wireless sensor networks; Data Collection; active sensor node; data origination; energy efficiency; energy saving; network lifetime extension; sink node; sleep scheduling method evaluation; wireless sensor network; Batteries; Data collection; Educational institutions; Energy consumption; Energy efficiency; Relays; Routing protocols; Area Division; Data Redundancy; Energy Efficiency; Sensor Network; Sleep Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2014 Eighth International Conference on
  • Conference_Location
    Birmingham
  • Print_ISBN
    978-1-4799-4333-3
  • Type

    conf

  • DOI
    10.1109/IMIS.2014.41
  • Filename
    6975482