• DocumentCode
    1902312
  • Title

    Sub-optimal Step-by-Step Node Deployment Algorithm for User Localization in Wireless Sensor Networks

  • Author

    Tsai, Yuh-Ren ; Tsai, Yuan-Jiun

  • Author_Institution
    Inst. of Commun. Eng., Nat. Tsing Hua Univ., Hsinchu
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    114
  • Lastpage
    121
  • Abstract
    User/object localization is one of the promising applications for WSNs. So far, there is no flexible node deployment algorithm targeting on optimizing the localization performance. To facilitate node deployment for localization applications in WSNs, we propose, based on a universal performance evaluation metric, a low-complexity, step-by-step node deployment algorithm which provides sub-optimal solutions feasible for large-scale WSNs. This proposed node deployment algorithm has the computational complexity linearly proportional to the number of available nodes, and is flexible for different system scenarios, including the cases with a non-homogeneous user distribution and with an irregular sensing area. The performance of our proposed algorithm is compared with some other available benchmarks. It is found that the proposed deployment algorithm can provide flexible network topologies with very good location estimation performance.
  • Keywords
    computational complexity; telecommunication network topology; wireless sensor networks; WSN; computational complexity; network topology; object localization; suboptimal step-by-step node deployment algorithm; universal performance evaluation metric; user localization; wireless sensor networks; Area measurement; Computational complexity; Computer networks; Costs; Hardware; Large-scale systems; Network topology; Pervasive computing; Surveillance; Wireless sensor networks; Wireless sensor network (WSN); deployment; localization; received signal strength;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Networks, Ubiquitous and Trustworthy Computing, 2008. SUTC '08. IEEE International Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-0-7695-3158-8
  • Electronic_ISBN
    978-0-7695-3158-8
  • Type

    conf

  • DOI
    10.1109/SUTC.2008.33
  • Filename
    4545747