• DocumentCode
    1865932
  • Title

    Sensing Spatial Coverage analysis - for fire detection purposes

  • Author

    Karkvandi, H.R. ; Pecht, E. ; Yadid-Pecht, O.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2012
  • fDate
    April 29 2012-May 2 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Sensing Spatial Coverage (SSC) is one of the main Quality of Service (QoS) measures in a Wireless Sensor Network (WSN). This quantifies the WSN monitoring ability. The initial phase of WSN implementation is to determine how many sensors with specific sensing ability are required for the intended application or scenario. For this purpose, the sensing profile of the sensors should be known. Most of the previous works considered a Boolean model for the sensors, limiting the sensing ability to a fixed radius known as the sensing range. The sensing ability of the sensors depends on the nature of the application they are used for. In this work fire detection is assumed to be the application and the sensor consists of a simple Infra-red (IR) photodiode. A realistic sensing model will be introduced and the detection ability of the sensor will be studied in detail and closed form formulas will be derived for the probability of fire detection in different distances.
  • Keywords
    Boolean algebra; condition monitoring; fires; infrared detectors; photodiodes; quality of service; signal detection; wireless sensor networks; Boolean model; IR photodiode; QoS measures; SSC analysis; WSN monitoring ability; closed form formulas; fire detection; infrared photodiode; quality of service; sensing spatial coverage analysis; sensor detection ability; sensors sensing profile; wireless sensor networks; Choppers (circuits); Fires; Noise; Optical sensors; Photodiodes; Wireless sensor networks; SSC; Sensing Profile; Sensing Range; Sensing Spatial Coverage; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
  • Conference_Location
    Montreal, QC
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4673-1431-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2012.6334843
  • Filename
    6334843