• DocumentCode
    2511027
  • Title

    Multi Attribute Based Algorithm for Reliable Satellite-Based Sensor Networks

  • Author

    Bisio, Igor ; Marchese, Mario ; Portomauro, Giancarlo

  • Author_Institution
    Univ. of Genoa Res. Unit, Genoa
  • fYear
    2007
  • fDate
    26-30 Nov. 2007
  • Firstpage
    5016
  • Lastpage
    5020
  • Abstract
    Modern environmental monitoring systems are based on satellite-based sensor networks (SSN) where earth stations (Sinks) gather information from sensors and use the satellite channel to send it to remote sites. For the sake of efficiency of a whole monitoring system, the SSN has to be managed by following two main aims: to guarantee the reliability, in particular in case of failure of the satellite portion of the network, and to limit both delay, which is representative of a very important Quality of Service (QoS) metric, and energy consumption. The dynamic sink selection process may allow reaching both aims of the system. In more detail, the paper proposes: the description of the SSN architecture taken as reference, the quality requirements of the system, a revision of the Sink selection method called LINMAP, and an introductive simulative study of its performance in case of failure of the satellite portion of the system.
  • Keywords
    quality of service; satellite communication; telecommunication network reliability; wireless channels; wireless sensor networks; LINMAP; SSN architecture; dynamic sink selection process; earth stations; energy consumption; environmental monitoring systems; multi attribute based algorithm; quality of service metric; reliable satellite-based sensor networks; remote sites; satellite channel; Artificial satellites; Communication system control; Pervasive computing; Quality of service; Remote monitoring; Satellite ground stations; Sensor phenomena and characterization; Sensor systems; Weather forecasting; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1042-2
  • Electronic_ISBN
    978-1-4244-1043-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2007.951
  • Filename
    4411861