• DocumentCode
    3510652
  • Title

    Convex groups for self-organizing multi-sink wireless sensor networks

  • Author

    Saukh, Olga ; Sauter, Robert ; Marron, Pedro Jose

  • Author_Institution
    Struct. Eng. Res. Lab., EMPA, Dubendorf, Switzerland
  • fYear
    2009
  • fDate
    3-5 Nov. 2009
  • Firstpage
    2624
  • Lastpage
    2629
  • Abstract
    Mobile ad-hoc networks have long been proposed for rescue scenarios to support and coordinate the efforts of helpers. Low power wireless sensor networks are a natural extension of this approach. They can provide valuable environmental data enriched with location information to deepen the insight of the operational area. Gateways between these two communication paradigms are necessary to facilitate the collaboration of both systems. We study such multi-sink wireless sensor network scenarios and explore the use of convex groups to efficiently disseminate location dependent information, for example, for query distribution. Convex groups show significant advantages in terms of message overhead compared to straightforward approaches without sacrificing connectivity. They do not exhibit high computational complexity and handle node mobility as well as gateway mobility gracefully.
  • Keywords
    ad hoc networks; computational complexity; mobile radio; telecommunication network routing; trees (mathematics); wireless sensor networks; computational complexity; convex groups; gateway mobility; location information; message overhead; mobile ad-hoc networks; node mobility; operational area; query distribution; rescue scenarios; routing tree; self-organizing multi-sink wireless sensor networks; Ad hoc networks; Collaboration; Context; Fires; Laboratories; Mobile ad hoc networks; Routing; Structural engineering; Unmanned aerial vehicles; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
  • Conference_Location
    Porto
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-4648-3
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2009.5415259
  • Filename
    5415259