• DocumentCode
    160371
  • Title

    Development of a wireless sensor network for detecting fire and Gas leaks in a collapsing building

  • Author

    Rao, Smitha ; Nithya, G.K. ; Rakesh, K.

  • Author_Institution
    Amrita Center for Wireless Networks & Applic., Amrita Vishwa Vidyapeetham, Coimbatore, India
  • fYear
    2014
  • fDate
    11-13 July 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    High-rise commercial and residential buildings are very common in today´s modern cities and are subject to fires and gas leaks. When such buildings collapse, however, it is imperative that methods for the rescue and evacuation of residents be considered. This paper mainly focuses on detecting potential occurrences of cascading disasters due to fires and gas leaks in a collapsing building by frequently communicating with an Incident Management System via a wireless sensor network and UAVs. Using QualNet, an in-depth study of various antenna options and their characteristics is done and the selection of a suitable antenna, based on this study, is discussed. The network characteristics of ZigBee at different operating frequencies are also analyzed. Furthermore, an algorithm is proposed to deploy a wireless sensor network to detect fires, gas leaks, etc., using minimal number of ZigBee nodes.
  • Keywords
    Zigbee; buildings (structures); disasters; wireless sensor networks; QualNet; UAV; ZigBee network characteristics; building collapse; cascading disaster occurrence detection; fire detection; gas leak detection; high-rise commercial buildings; high-rise residential buildings; incident management system; resident evacuation; resident rescue; wireless sensor network development; Buildings; Directive antennas; Fires; Monitoring; Switches; Wireless sensor networks; Incident Management System; QualNet; UAV; Wireless Sensor Network; ZigBee; cascading disasters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on
  • Conference_Location
    Hefei
  • Print_ISBN
    978-1-4799-2695-4
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2014.6963046
  • Filename
    6963046