• DocumentCode
    1667966
  • Title

    Coverage-Based Sensor Association Rules for Wireless Vehicular Ad Hoc and Sensor Networks

  • Author

    Samarah, Samer ; Boukerche, Azzedine ; Ren, Yonglin

  • Author_Institution
    PARADISE Res. Lab., Univ. of Ottawa, Ottawa, ON
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Recently, Knowledge Discovery Process has proven to be a promising tool for extracting behavioral patterns regarding sensor nodes from wireless vehicular ad hoc and sensor networks. In this paper, we propose a new type of behavioral patterns, which we refer to as Coverage-based Rules, to discovers the correlation among the set of locations monitored by the network. Coverage- base Rules is an extension for a recent proposed behavioral patterns named as Sensor Association Rules. However, in contrast to Sensor Association Rules, Coverage-based Rules have been designed specifically for sensor networks that guarantee a k- coverage property for the area under monitoring. The major application of Coverage-based Rules is to predict the location of future events. This feature might prove to be quite useful in vehicular ad hoc and sensor network based applications. To report about the efficiency of our proposed scheme, an extensive set of simulation experiments have been conducted to compare the performance of the network during the data preparation process for Coverage-based and Sensor Association Rules schemes.
  • Keywords
    ad hoc networks; data mining; mobile communication; wireless sensor networks; coverage-based sensor association rules; wireless sensor networks; wireless vehicular ad hoc networks; Association rules; Data mining; Event detection; Fault tolerance; Laboratories; Monitoring; Quality of service; Sensor phenomena and characterization; Telecommunication network reliability; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
  • Conference_Location
    New Orleans, LO
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-2324-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2008.ECP.75
  • Filename
    4697850