• DocumentCode
    660033
  • Title

    On the Effect of Data Request Message Flooding in Dense Wireless Sensor Networks with a Mobile Sink

  • Author

    Takaishi, Daisuke ; Nishiyama, Hiroki ; Kato, Nei ; Miura, Ryu

  • Author_Institution
    Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
  • fYear
    2013
  • fDate
    2-5 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In wireless sensor networks with mobile sink, mobile sink traverse the sensing area and aggregate the data from nodes near the mobile sink. In this scheme, mobile sink can reduce the total energy consumption by dividing the network to the multiple clusters. Since, energy consumption is proportional to the sum of square of communication distance, dividing the network into smaller clusters can reduce the amount of energy required for transmission. Previous researches concluded that increasing number of the cluster reduces energy required for data transmission. However, these ideas do not take into account the energy consumption due to data request message flooding in dense networks. In this paper, we focus on the data request flooding problem which is the massive energy consumption for data request message in dense network. Moreover, we point out that energy consumption of data transmission and data request message are controlled by the number of clusters in the network.
  • Keywords
    Gaussian processes; data communication; energy consumption; expectation-maximisation algorithm; wireless sensor networks; data request message flooding; data transmission; dense networks; energy consumption; mobile sink; multiple clusters; wireless sensor networks; Clustering algorithms; Data communication; Energy consumption; Mobile communication; Mobile computing; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VTCFall.2013.6692313
  • Filename
    6692313