• DocumentCode
    3468219
  • Title

    Autonomous data gathering mechanism with transmission reduction for wireless sensor networks

  • Author

    Taniguchi, Yukinobu ; Kanzaki, Akimitsu ; Wakamiya, Naoki ; Hara, Tenshi

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan
  • fYear
    2011
  • fDate
    3-5 March 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we propose an autonomous and energy-efficient data gathering mechanism with transmission reduction for wireless sensor networks (WSNs). In our proposed mechanism, sensor nodes schedule their message transmission timing in a self-organizing manner such that they can gather sensor data over a whole WSN and transmit that data to a sink node while switching between a sleep state and an active state. In addition, each sensor node determines the redundancy of its sensor data according to overheard messages so that only necessary sensor data are gathered and transmitted to the sink node. Our proposed mechanism does not require additional control messages and enables both data traffic and control traffic to be drastically reduced. Through simulation experiments, we confirmed that the number of message transmissions can be reduced by up to 77% with our proposed mechanism compared to a conventional mechanism.
  • Keywords
    data communication; wireless sensor networks; WSN; autonomous data gathering mechanism; control traffic; data traffic; energy-efficient data gathering mechanism; message transmission timing; self-organizing manner; transmission reduction; wireless sensor networks; Interpolation; Monitoring; Redundancy; Scheduling; Temperature distribution; Temperature sensors; Wireless sensor networks; data aggregation; data gathering; spatial interpolation; traveling wave; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computing and Control Applications (CCCA), 2011 International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4244-9795-9
  • Type

    conf

  • DOI
    10.1109/CCCA.2011.6031443
  • Filename
    6031443