• DocumentCode
    3597083
  • Title

    Virtual overlay for service classification & discovery in wireless sensor networks

  • Author

    Munir, Saad Ahmed ; Dongliang, Xie ; Canfeng, Chen ; Ma, Jian

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing
  • Volume
    2
  • fYear
    2009
  • Firstpage
    991
  • Lastpage
    996
  • Abstract
    Although wireless sensor networks (WSN) has been an active field of research for the last many years, service discovery within WSN has not been considered much by the research community. Service discovery in wireless sensor networks particularly in the context of future ubiquitous computing plays an important role and its significance cannot be underestimated. In this paper, we present virtual service overlay architecture for wireless sensor networks. This architecture is based on different service classifications and aims to improve service quality as well as efficient network resource utilization. The proposed scheme puts minimal interaction on part of service client and is robust in its implementation. Wireless sensor networks are characterized by their limited battery and computational resources, which needs to be considered in designing an efficient service discovery paradigm for such networks.
  • Keywords
    ubiquitous computing; wireless sensor networks; network resource utilization; service classification; service client; service discovery; ubiquitous computing; virtual overlay; wireless sensor networks; Application software; Computer architecture; Computer networks; Hardware; Laboratories; Multimedia databases; Pervasive computing; Printers; Telecommunication switching; Wireless sensor networks; Cluster-based service discovery; Service Discovery; Virtual Overlay; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-138-7
  • Electronic_ISBN
    1738-9445
  • Type

    conf

  • Filename
    4809581