• DocumentCode
    2823272
  • Title

    Multi-odor Sources Localization and tracking with wireless sensor network and mobile robots

  • Author

    Zhen Fang ; Zhan Zhao ; Xunxue Cui ; Daoqu Geng ; Yundong Xuan ; LiDong Du ; Jing Xu ; ShaoHua Wu

  • Author_Institution
    State Key Lab. of Transducer Technol., Chinese Acad. of Sci., Shanghai, China
  • fYear
    2010
  • fDate
    15-17 Nov. 2010
  • Firstpage
    60
  • Lastpage
    65
  • Abstract
    Localizing and tracking multiple static/moving odors in a real-time manner is a very difficult problem in the field of security. In this paper a solution has been proposed for the problem by using the integration of mobile robots and a static wireless sensor network. A multi-odor recognition algorithm is designed to identify and separate various sources. The static odor localization and moving odor tracking approach is provided, and the interaction method among the robot team and sensor network is analyzed. This solution is capable of separating individual odor sources and estimating the positions and speeds of multi-odor sources. The traditional GPSR routing protocol is modified to improve the network transmission performance. Simulation results show that the solution has good localization and tracking ability, and can be applied to industry and military fields.
  • Keywords
    electronic noses; mobile robots; routing protocols; wireless sensor networks; GPSR routing protocol; good localization; mobile robot; multiodor recognition algorithm; multiodor source localization; odor tracking approach; robot team; wireless sensor network; Localization; Mobile Robot; Odor Source; Tracking; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless Sensor Network, 2010. IET-WSN. IET International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1049/cp.2010.1028
  • Filename
    5741070