• DocumentCode
    1893880
  • Title

    Energy-Efficient Data Gathering in Query Processing of Sensor Networks

  • Author

    Sun, Jun-Zhao

  • Author_Institution
    Univ. of Oulu, Oulu
  • fYear
    2007
  • fDate
    26-27 July 2007
  • Firstpage
    656
  • Abstract
    Networked sensor systems of large scale are becoming available in the foreseeable future and provide economical and practical solutions for data collection and environment monitoring. A high-level abstraction of sensor network is to model it as a distributed database system. Query thus can be utilized to gather data from the system. Queries for sensor networks need to be carefully designed, in order to minimize the power consumption and maximize the lifetime. This paper presents a novel method for energy-efficient data gathering in wireless sensor networks. By taking advantage of the delay constraint specified with a query, the method can find the optimal combinations of sending sensor data from nodes to sink, with or without performing data processing. System models for energy and time consumptions of both computation and communication are created. Problem is formalized and algorithm is described in detail. Finally, performance of the proposed method is evaluated. It shows that the proposed method achieves better performance than without performing the optimization.
  • Keywords
    delays; distributed databases; query processing; wireless sensor networks; data collection; delay constraint; distributed database system; energy-efficient data gathering; environment monitoring; high-level abstraction; lifetime maximisation; networked sensor systems; power consumption minimisation; query processing; wireless sensor networks; Database systems; Energy efficiency; Environmental economics; Large-scale systems; Monitoring; Power generation economics; Power system economics; Power system modeling; Query processing; Sensor systems; Energy Efficient; Query Processing; Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2007. ICPCA 2007. 2nd International Conference on
  • Conference_Location
    Birmingham
  • Print_ISBN
    978-1-4244-0971-6
  • Electronic_ISBN
    978-1-4244-0971-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2007.4365524
  • Filename
    4365524