• DocumentCode
    1706559
  • Title

    Rule-based in-network processing in wireless sensor networks

  • Author

    Sanli, Ozgur ; Korpeoglu, Ibrahim ; Yazici, Adnan

  • Author_Institution
    Dept. of Comput. Eng., Middle East Tech. Univ., Ankara, Turkey
  • fYear
    2009
  • Firstpage
    660
  • Lastpage
    665
  • Abstract
    Wireless sensor networks are application-specific networks, and usually a new network design is required for a new application. In event-driven wireless sensor network applications, the sink node of the network is generally concerned with the higher level information describing the events happening in the network, not the raw sensor data of individual sensor nodes. As the communication is a costly operation in wireless sensor networks, it is important to process the raw data triggering the events inside the network instead of bringing the raw data to the sink and processing it there. This helps reducing the total amount of packets transmitted and total energy consumed in the network. In this paper, we propose a new method that distributes the information processing into the sensor network for event-driven applications. We also describe an application scenario, healthcare monitoring application, that can benefit from our approach.
  • Keywords
    wireless sensor networks; application-specific network; event-driven wireless sensor network; healthcare monitoring application; information processing; network design; raw data triggering; rule-based in-network processing; sensor node; Application software; Computer networks; Design engineering; Energy consumption; Energy efficiency; Information processing; Monitoring; Sensor phenomena and characterization; Telecommunication traffic; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
  • Conference_Location
    Saint Petersburg
  • Print_ISBN
    978-1-4244-4601-8
  • Electronic_ISBN
    978-1-4244-4602-5
  • Type

    conf

  • DOI
    10.1109/CCA.2009.5280991
  • Filename
    5280991