• DocumentCode
    3159541
  • Title

    A Graph Based Approach to Supporting Reconfiguration in Wireless Sensor Networks

  • Author

    Horre, W. ; Lee, Kevin ; Hughes, Danny ; Michiels, Sam ; Joosen, Wouter

  • Author_Institution
    Distrinet, Katholieke Univ. Leuven, Leuven, Belgium
  • fYear
    2009
  • fDate
    27-29 Dec. 2009
  • Firstpage
    326
  • Lastpage
    331
  • Abstract
    Considerable research has been performed in applying run-time reconfigurable component models to Wireless Sensor Networks. The ability to dynamically deploy or update software components has clear advantages in sensor network deployments, which are typically large in scale and expected to operate for long periods in dynamic environments. Realizing distributed reconfiguration in Wireless Sensor Networks is complicated by the inherently asynchronous and unreliable nature of these systems. In such an environment, achieving quiescence is both costly and impossible to guarantee. Additionally, the success of reconfiguration actions cannot be determined with certainty. This paper advocates for a hierarchical, adaptive, graph-based approach to supporting reconfiguration. We argue that application developers should specify only high level reconfiguration graphs, which are then compiled, partitioned and enacted in an adaptive manner by a context aware distributed reconfiguration engine.
  • Keywords
    distributed processing; graph theory; ubiquitous computing; wireless sensor networks; context aware distributed reconfiguration; graph based approach; wireless sensor network; Biomedical monitoring; Business communication; Context awareness; Engines; Large-scale systems; Runtime; Scalability; Temperature measurement; Temperature sensors; Wireless sensor networks; Scientific Workflows; Software Deployment; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks and Communications, 2009. NETCOM '09. First International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4244-5364-1
  • Electronic_ISBN
    978-0-7695-3924-9
  • Type

    conf

  • DOI
    10.1109/NetCoM.2009.18
  • Filename
    5383967