• DocumentCode
    3198125
  • Title

    On a Mobile Sensor Control Method for Uniform Sensing in Sparse Sensor Networks

  • Author

    Treeprapin, Kriengsak ; Kanzaki, Akimitsu ; Hara, Takahiro ; Nishio, Shojiro

  • Author_Institution
    Dept. of Multimedia Eng., Osaka Univ., Suita
  • fYear
    2008
  • fDate
    27-30 April 2008
  • Firstpage
    125
  • Lastpage
    132
  • Abstract
    Recent advance in robotics technology has led to an increasing interest in mobile sensor networks that are constructed by sensor nodes with a moving facility (mobile sensors). Until now, we have proposed an effective mobile sensor control method, named DATFM (Data Acquisition and Transmission with Fixed and Mobile Node), for sparse sensor networks. DATFM achieves the effective data acquisition in a sparse network by accumulating data on fixed nodes and then transmitting them via a communication route constructed by multiple mobile sensors. In this paper, we propose DATFM/DA (DATFM with area Dividing and node deployment Adjusting) as an extension of DATFM to uniformize the amount of acquired data in the whole area. DATFM/DA divides the target area into several regions and adjusts the number of mobile sensors deployed in each region. Furthermore, we conduct simulation experiments to evaluate the performance of DATFM/DA.
  • Keywords
    data acquisition; mobile radio; telecommunication congestion control; wireless sensor networks; data acquisition and transmission with fixed and mobile node; mobile sensor control method; mobile sensor networks; multiple mobile sensors; robotics technology; sensor nodes; sparse sensor networks; Ad hoc networks; Communication system control; Data acquisition; Data communication; Mobile communication; Mobile robots; Monitoring; Robot sensing systems; Sensor phenomena and characterization; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Data Management Workshops, 2008. MDMW 2008. Ninth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4484-7
  • Electronic_ISBN
    978-0-7695-3721-4
  • Type

    conf

  • DOI
    10.1109/MDMW.2008.18
  • Filename
    4839092