• DocumentCode
    2372872
  • Title

    Virtual Brokers for Large-Scale Publish/Subscribe in Wireless Sensor Networks

  • Author

    Liu, Yang ; Seet, Boon-Chong ; Al-Anbuky, Adnan

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Auckland Univ. of Technol., Auckland, New Zealand
  • fYear
    2010
  • fDate
    11-13 Dec. 2010
  • Firstpage
    240
  • Lastpage
    246
  • Abstract
    Brokers are critical elements for many publish and subscribe (pub/sub) systems. They are dedicated devices with large computation and storage capacities, but they could suffer from scalability problems when comes to actual large-scale implementations in wireless sensor networks. Inspired by the recent virtual MIMO concept for wireless sensor networks, this paper proposes the idea of `virtual brokers´ for large-scale pub/sub systems in sensor networks, and presents in detail the design of a three-stage algorithm for forming a virtual broker around multiple co-located sensor nodes using only network connectivity information. Using computer modeling, we conduct an investigation of our virtual broker formation algorithm and preliminary results demonstrate the potential of our algorithm for scalable formation of virtual brokers.
  • Keywords
    MIMO systems; message passing; middleware; storage allocation; wireless sensor networks; computer modeling; critical elements; dedicated devices; large-scale implementations; large-scale pub/sub systems; large-scale publish/subscribe; multiple co-located sensor nodes; network connectivity information; publish and subscribe systems; scalability problems; storage capacity; three-stage algorithm; virtual MIMO concept; virtual broker formation algorithm; virtual brokers; wireless sensor networks; connectivity-based Voronoi diagram; connectivity-based k-means clustering; distributed virtual broker; publish; subscribe; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded and Ubiquitous Computing (EUC), 2010 IEEE/IFIP 8th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-9719-5
  • Electronic_ISBN
    978-0-7695-4322-2
  • Type

    conf

  • DOI
    10.1109/EUC.2010.42
  • Filename
    5703522