• DocumentCode
    3565219
  • Title

    Fuzzy logic based localisation in wireless sensor networks for disaster environments

  • Author

    Gu, Shuang ; Yue, Yong ; Maple, Carsten ; Wu, Chengdong

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Univ. of Bedfordshire, Luton, UK
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Progress in micro-electromechanical systems (MEMS) and radio frequency (RF) technology has fostered the development of wireless sensor networks (WSNs). Although WSNs have been successfully applied in built environments, their applications and benefits have not been fully explored in the areas of disaster recovery and rescuing. In this paper, a novel probabilistic fuzzy logic based Range-free localisation algorithm (PFRL) is proposed. The proposed algorithm is compared with other range free localisation algorithms. Simulation results demonstrate the accurate and effectiveness of the proposed algorithm.
  • Keywords
    disasters; fuzzy logic; micromechanical devices; sensor placement; wireless sensor networks; MEMS; PFRL; RF technology; WSN; disaster environments; disaster recovery; fuzzy logic based localisation; microelectromechanical systems; probabilistic fuzzy logic based range-free localisation algorithm; radiofrequency technology; wireless sensor networks; Accuracy; Algorithm design and analysis; Fuzzy logic; Mathematical model; Probabilistic logic; Sensors; Wireless sensor networks; WSNs; fuzzy logic; localisatin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Computing (ICAC), 2012 18th International Conference on
  • Print_ISBN
    978-1-4673-1722-1
  • Type

    conf

  • Filename
    6330549