• DocumentCode
    2045681
  • Title

    LEGS: A Load-balancing Emergency Guiding System based on wireless sensor networks

  • Author

    Chen, Lien-Wu ; Cheng, Jen-Hsiang ; Tseng, Yu-Chee ; Kuo, Lun-Chia ; Chiang, Jen-Chieh ; Lin, Wan-Jung

  • Author_Institution
    Dept. of Inf. Eng. & Comput. Sci., Feng Chia Univ., Taichung, Taiwan
  • fYear
    2012
  • fDate
    19-23 March 2012
  • Firstpage
    486
  • Lastpage
    488
  • Abstract
    LEGS is a Load-balancing Emergency Guiding System using a wireless sensor network. In LEGS, we design a load-balancing guiding scheme and derive an analytical model in order to reduce the total evacuation time of people. The proposed guiding scheme can provide the fastest path to an exit based on the evacuation time estimated by the derived analytical model. To the best of our knowledge, LEGS is the first system which takes the corridor capacity and length, exit capacity, and people distribution into consideration for analyzing evacuation time and planning escape paths. Through LEGS, the congestion of certain corridors and exits can be released to significantly reduce the evacuation time of people. Analytical and simulation results show that LEGS outperforms existing works, which can prevent people from following the local optimal guiding direction with the longer evacuation time in total. LEGS thus demonstrates an efficient emergency guiding system for public safety.
  • Keywords
    emergency services; resource allocation; wireless sensor networks; LEGS; analytical model; corridor capacity; corridor length; escape path planning; evacuation time analysis; exit capacity; load-balancing emergency guiding system; load-balancing guiding scheme design; local optimal guiding direction; people distribution; people total evacuation time reduction; public safety; wireless sensor networks; Analytical models; Capacity planning; Legged locomotion; Nickel; Prototypes; Security; Wireless sensor networks; Home Security; Navigation; Pervasive Computing; Wireless Communication; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications Workshops (PERCOM Workshops), 2012 IEEE International Conference on
  • Conference_Location
    Lugano
  • Print_ISBN
    978-1-4673-0905-9
  • Electronic_ISBN
    978-1-4673-0906-6
  • Type

    conf

  • DOI
    10.1109/PerComW.2012.6197542
  • Filename
    6197542