• DocumentCode
    1955211
  • Title

    CAN based smart sensor network for indoor air quality monitoring

  • Author

    Pillai, Minu A. ; Veerasingam, Sridevi ; Sai, D. Yaswanth

  • Author_Institution
    Dept. of Instrum. & Control, Nat. Inst. of Technol., Tiruchirappalli, India
  • Volume
    8
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    456
  • Lastpage
    460
  • Abstract
    Good indoor air quality (IAQ) can contribute to the safety, health and comfort of the people. Since indoor exposure to air contaminants penetrating from the indoor air contaminant sources depends on a number of parameters such as the ventilation rate, the geometric characteristics of the indoor environment, the indoor removal mechanisms and the concentration of air contaminants released, the implementation of smart sensor network is a promising solution to ensure good indoor air quality. This paper focuses on the application of CAN (controller Area Network) in forming a smart sensor network. The nodes are physically distributed where the serial common bus communication network CAN provides a robust means of interconnecting the nodes in the network. This paper proposes Atmel CANary based sensor nodes and motor control node for the monitoring and control of indoor air quality. The system output is a prototype of IAQ monitoring and control system which is evaluated through hardware tests.
  • Keywords
    air pollution control; controller area networks; intelligent sensors; Atmel CANary; CAN based smart sensor network; air contaminants; controller area network; indoor air quality monitoring; motor control node; sensor nodes; serial common bus communication network; Biology; Delay; Monitoring; Pollution measurement; Registers; Transceivers; Controller Area Network; Indoor Air Quality; Networked systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5564892
  • Filename
    5564892