• DocumentCode
    2564785
  • Title

    ACM: A Transmission Mechanism for Urgent Sensor Information

  • Author

    Kawai, Tetsuya ; Wakamiya, Naoki ; Murata, Masayuki

  • Author_Institution
    Graduate Sch. of Inf. Sci. & Technol., Osaka Univ.
  • fYear
    2007
  • fDate
    11-13 April 2007
  • Firstpage
    562
  • Lastpage
    569
  • Abstract
    The wireless sensor network (WSN) is one of the most promising technologies which helps making our society safe, secure, and comfortable. A WSN as a social infrastructure must transmit critical information faster and more reliable than other information. In this paper, we propose an autonomous and distributed mechanism, called an "assured corridor" mechanism (ACM), for fast and reliable transmission for urgent information in WSNs. In ACM, a self-organizing corridor consists of nodes surrounding the path from the source node to the base station and nodes in the path. The former refrains from transmitting non-urgent information to avoid collisions with emergency packets, and the latter suspends their sleep schedule and keeps awake to avoid delay caused by sleeping. We conducted simulation experiments with a tree-based and broadcast-based network. It was shown that ACM improved the delivery ratio and the delay of emergency packets.
  • Keywords
    broadcasting; telecommunication network reliability; wireless sensor networks; ACM; WSN; assured corridor mechanism; broadcast-based network; tree-based network; urgent sensor information; wireless sensor network; Base stations; Broadcasting; Condition monitoring; Delay; Information science; Information security; Media Access Protocol; Relays; Sleep; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance, Computing, and Communications Conference, 2007. IPCCC 2007. IEEE Internationa
  • Conference_Location
    New Orleans, LA
  • ISSN
    1097-2641
  • Print_ISBN
    1-4244-1138-6
  • Electronic_ISBN
    1097-2641
  • Type

    conf

  • DOI
    10.1109/PCCC.2007.358941
  • Filename
    4197977