• DocumentCode
    3678026
  • Title

    Proposal of a Distributed Cooperative M2M System for Flood Disaster Prevention

  • Author

    Shiji Kitagami;Yohtaro Miyanishi;Yoshiyori Urano;Norio Shiratori

  • Author_Institution
    Grad. Sch. of Global Inf. &
  • fYear
    2014
  • Firstpage
    637
  • Lastpage
    642
  • Abstract
    Effective applications of M2M (Machine-to-Machine) systems for disaster prevention, such as an early warning system for flood and landslide, are highly expected. In particular, in applications for flood disaster prevention, an early warning of the flash flood caused by local torrential rain is required as well as a flood impact analysis based on water level and rainfall monitoring in the whole basin. However, in a conventional server-centric M2M system, an increase of network load and a delay of feedback control has become one of the most critical issues. Therefore, it is difficult to apply the conventional server-centric M2M system to applications of flood disaster prevention, in which both a real-time flood alert and a flood impact analysis are required. In this paper, we propose a distributed cooperative M2M system to solve such problems, and make an attempt to apply the proposed system to applications for flood disaster prevention. This proposed system provides an event-driven data collection mechanism for efficient data collection in low-bandwidth networks on the Never Die Network to achieve disaster tolerance of the access network. In addition, a rule-based autonomous control mechanism for a real-time flood alert in the M2M gateway is offered.
  • Keywords
    "Floods","Data collection","Logic gates","Servers","Intelligent sensors","Distributed databases"
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence and Computing, 2014 IEEE 11th Intl Conf on and IEEE 11th Intl Conf on and Autonomic and Trusted Computing, and IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UTC-ATC-ScalCom)
  • Type

    conf

  • DOI
    10.1109/UIC-ATC-ScalCom.2014.51
  • Filename
    7307017