• DocumentCode
    2264814
  • Title

    Energy-efficient and fault-tolerant resolution of topographic queries in networked sensor systems

  • Author

    Singh, Mitali ; Prasanna, Viktor K.

  • Author_Institution
    Dept. of Comput. Sci., Southern California Univ., Los Angeles, CA
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    This paper focuses on energy-efficient and fault-tolerant resolution of topographic queries in dense, uniformly deployed, two-dimensional sensor systems. Our approach is based on construction of the topographic map of user-defined features in the network. Once constructed, the map is used to resolve a large number of topographic queries efficiently. We present a distributed algorithm for construction and maintenance of the topographic map in presence of node failures and discuss resolution of topographic queries using the map. Our results show that our algorithm incurs 90% lesser time and 50% lower energy overheads on the average, and recovers more reliably from node failures in the network than the state-of-the-art
  • Keywords
    distributed algorithms; fault tolerant computing; graph theory; query processing; wireless sensor networks; distributed algorithm; fault-tolerant resolution; networked sensor systems; topographic map; topographic query; Acoustic sensors; Computer networks; Data mining; Energy efficiency; Energy resolution; Fault tolerant systems; Intelligent networks; Maintenance; Sensor systems; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems, 2006. ICPADS 2006. 12th International Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1521-9097
  • Print_ISBN
    0-7695-2612-8
  • Type

    conf

  • DOI
    10.1109/ICPADS.2006.43
  • Filename
    1655672