• DocumentCode
    426183
  • Title

    Sampling based sensor-network deployment

  • Author

    Isler, Volkan ; Kannan, Sampath ; Daniilidis, Kostas

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    28 Sept.-2 Oct. 2004
  • Firstpage
    1780
  • Abstract
    In this paper, we consider the problem of placing networked sensors in a way that guarantees coverage and connectivity. We focus on sampling based deployment and present algorithms that guarantee coverage and connectivity with a small number of sensors. We consider two different scenarios based on the flexibility of deployment. If deployment has to be accomplished in one step, like airborne deployment, then the main question becomes how many sensors are needed. If deployment can be implemented in multiple steps, then awareness of coverage and connectivity can be updated. For this case, we present incremental deployment algorithms, which consider the current placement to adjust the sampling domain. The algorithms are simple, easy to implement, and require a small number of sensors. We believe the concepts and algorithms presented in this paper provide a unifying framework for existing and future deployment algorithms, which consider many practical issues not considered in the present work.
  • Keywords
    mobile robots; multi-robot systems; sampling methods; wireless sensor networks; guarantee coverage; incremental deployment algorithm; robot team; sampling deployment; sensor network deployment; Computer networks; Electrical engineering; Information science; Laboratories; Mobile robots; Robot sensing systems; Sampling methods; Sensor systems; Surveillance; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-8463-6
  • Type

    conf

  • DOI
    10.1109/IROS.2004.1389654
  • Filename
    1389654