• DocumentCode
    1917270
  • Title

    Decentralized algorithms for sensor registration

  • Author

    Crespi, Valentino ; Cybenko, George

  • Author_Institution
    Thayer Sch. of Eng., Dartmouth Coll., Hanover, NH, USA
  • Volume
    1
  • fYear
    2003
  • fDate
    20-24 July 2003
  • Firstpage
    266
  • Abstract
    In this paper we investigate a problem arising in decentralized registration of sensors. The application we consider involves a heterogeneous collection of sensors - some sensors have on-board global positioning system (GPS) capabilities while others do not. All sensors have wireless communications capability but the wireless communication has limited effective range. Sensors can communicate only with other sensors that are within a fixed distance of each other. Sensors with GPS capability are self-registering. Sensors without GPS capability are less expensive and smaller but they must compute estimates of their location using estimates of the distances between themselves and other sensors within their radio range. GPS-less sensors may be several radio hops away from GPS-capable sensors so registration must be inferred transitively. Our approach to solving this registration problem involves minimizing a global potential or penalty function by using only local information, determined by the radio range, available to each sensor. The algorithm we derive is a special case of a more general methodology we have developed called "emergence engineering".
  • Keywords
    Global Positioning System; convergence of numerical methods; gradient methods; iterative methods; radiocommunication; sensors; GPS-capable sensors; GPS-less sensors; decentralized algorithms; emergence engineering; global positioning system capabilities; gradient descent algorithm; heterogeneous collection of sensors; limited effective range; penalty function; self-registering sensors; sensor registration; wireless communications capability; Algorithm design and analysis; Automotive engineering; Costs; Educational institutions; Global Positioning System; Land vehicles; Sensor systems; Surveillance; Unmanned aerial vehicles; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2003. Proceedings of the International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7898-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2003.1223355
  • Filename
    1223355