• DocumentCode
    608020
  • Title

    Implementing Adaptation and Reconfiguration Strategies in Heterogeneous WSN

  • Author

    Di Marco, A. ; Gallo, F. ; Gemikonakli, Orhan ; Mostarda, L. ; Raimondi, Ferdinando

  • Author_Institution
    Dip. di Ing. e Sci. dell´Inf. e Mat., Univ. of L´Aquila, L´Aquila, Italy
  • fYear
    2013
  • fDate
    25-28 March 2013
  • Firstpage
    477
  • Lastpage
    483
  • Abstract
    Wireless Sensor Networks are becoming one of the most successful choices for the development and deployment of applications in a range of scenarios, from intelligent homes to environment monitoring. Nowadays, there is a growing demand for programming large-scale wireless sensor networks. New programming paradigms should ease the task of building WSN applications that adapt at run-time to changes in the context, in the available resources, and also in user requirements. In this paper we describe PROTEUS, a platform to manage adaptation and reconfiguration, with the aim of supporting the development of WSN applications. After introducing PROTEUS, we show how it can be used to program a dynamic clustering algorithm, where clusters are created and destroyed at runtime, and nodes need to adapt and reconfigure accordingly. We provide a prototype implementation using TinyOS. Some remarks on the work are also presented.
  • Keywords
    programming; wireless sensor networks; PROTEUS; TinyOS; adaptation implementation; dynamic clustering algorithm; heterogeneous WSN; programming paradigms; reconfiguration strategy; wireless sensor networks; Biomembranes; Context; Middleware; Nominations and elections; Programming; Protocols; Wireless sensor networks; Clustering; Middleware; WSN; adaptation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2013 IEEE 27th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-4673-5550-6
  • Electronic_ISBN
    1550-445X
  • Type

    conf

  • DOI
    10.1109/AINA.2013.102
  • Filename
    6531793