• DocumentCode
    2527603
  • Title

    CME: A Contour Mapping Engine in Wireless Sensor Networks

  • Author

    Xu, Yingqi ; Lee, Wang-Chien ; Mitchell, Gail

  • Author_Institution
    Pennsylvania State Univ., University Park, PA
  • fYear
    2008
  • fDate
    17-20 June 2008
  • Firstpage
    133
  • Lastpage
    140
  • Abstract
    Contour maps, showing topological distribution of extracted features, are crucial for many applications. Building a dynamic contour map in a wireless sensor network is a challenging task due to the constrained network resources. In this paper, we present the design of a contour mapping engine (CME) in wireless sensor networks. Our design incorporates in-network processing based on binary classification to reduce the total number of active nodes. The underlying network architecture is analyzed to derive an optimal configuration. We show, by extensive simulations, the superiority of CME over the state-of-the-art contour mapping techniques.
  • Keywords
    cartography; feature extraction; topology; wireless sensor networks; binary classification; constrained network resources; contour mapping engine; contour mapping techniques; contour maps; feature extraction; network architecture; optimal configuration; topological distribution; wireless sensor networks; Buildings; Distributed computing; Energy consumption; Engines; Feature extraction; Monitoring; Process design; Sensor phenomena and characterization; Temperature sensors; Wireless sensor networks; Contour maps; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems, 2008. ICDCS '08. The 28th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1063-6927
  • Print_ISBN
    978-0-7695-3172-4
  • Electronic_ISBN
    1063-6927
  • Type

    conf

  • DOI
    10.1109/ICDCS.2008.64
  • Filename
    4595877