• DocumentCode
    2047363
  • Title

    Self-stabilizing sensor networks for emergency management

  • Author

    Lohs, Stefan ; Karnapke, Reinhardt ; Nolte, Jörg ; Lagemann, Andreas

  • Author_Institution
    Distrib. Syst./ Oper. Syst. group, Brandenburg Univ. of Technol., Cottbus, Germany
  • fYear
    2012
  • fDate
    19-23 March 2012
  • Firstpage
    715
  • Lastpage
    720
  • Abstract
    Wireless sensor networks gather data, which is then transmitted in a sense-and-send manner to a central sink. The large number of sensor nodes makes configuring them before deployment impossible, resulting in the need for self configuration. The possibly large area that needs to be covered results in the necessity for multihop communication, and is prone to link failures. Therefore, communication protocols are needed that can guarantee a certain delivery ratio even under hard environmental conditions. A large scale emergency scenario represents one of these hard situations. One of the most fundamental problems in large scale emergencies is the coordination of rescue workers. To dispense units in an efficient manner without endangering them, a central command station needs as much information about the current situation as possible. Therefore, the application requirements are basically the same, making the usage of wireless sensor networks in emergency situations a viable task. In this paper we discuss the advantages of using self-stabilization in such sensor networks and present a self-stabilizing cross-layer medium access control/routing protocol for data gathering scenarios.
  • Keywords
    access protocols; fault tolerance; routing protocols; wireless sensor networks; communication protocol; cross-layer medium access control; emergency management; large scale emergencies; link failure; multihop communication; routing protocol; self-stabilizing sensor network; wireless sensor network; Arrays; Program processors; Protocols; Random access memory; Registers; Time division multiple access; Wireless sensor networks; Fault Tolerance; Self-stabilization; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications Workshops (PERCOM Workshops), 2012 IEEE International Conference on
  • Conference_Location
    Lugano
  • Print_ISBN
    978-1-4673-0905-9
  • Electronic_ISBN
    978-1-4673-0906-6
  • Type

    conf

  • DOI
    10.1109/PerComW.2012.6197607
  • Filename
    6197607