• DocumentCode
    3006328
  • Title

    Analysis of Dynamic Sensor Networks: Power Law Then What?

  • Author

    Fleury, Eric ; Guillaume, Jean-loup ; Robardet, Celine ; Scherrer, Antoine

  • Author_Institution
    INRIA, INSA de Lyon, Lyon, France
  • fYear
    2007
  • fDate
    7-12 Jan. 2007
  • Firstpage
    1
  • Lastpage
    13
  • Abstract
    Recent studies on wireless sensor networks (WSN) have shown that the duration of contacts and inter-contacts are power law distributed. While this is a strong property of these networks, we will show that this is not sufficient to describe properly the dynamics of sensor networks. We will present some coupled arguments from data mining, random processes and graph theory to describe more accurately the dynamics with the use of a random model to show the limits of an approach limited to power law contact durations.
  • Keywords
    data mining; graph theory; random processes; wireless sensor networks; data mining; graph theory; power law; random process; wireless sensor network; Data mining; Disruption tolerant networking; Frequency; Graph theory; Internet; Network topology; Random processes; Sensor phenomena and characterization; Wireless sensor networks; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems Software and Middleware, 2007. COMSWARE 2007. 2nd International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    1-4244-0613-7
  • Type

    conf

  • DOI
    10.1109/COMSWA.2007.382427
  • Filename
    4268070