• DocumentCode
    2045956
  • Title

    Dozer: Ultra-Low Power Data Gathering in Sensor Networks

  • Author

    Burri, Nicolas ; Von Rickenbach, Pascal ; Wattenhofer, Roger

  • Author_Institution
    ETH Zurich, Zurich
  • fYear
    2007
  • fDate
    25-27 April 2007
  • Firstpage
    450
  • Lastpage
    459
  • Abstract
    Environmental monitoring is one of the driving applications in the domain of sensor networks. The lifetime of such systems is envisioned to exceed several years. To achieve this longevity in unattended operation it is crucial to minimize energy consumption of the battery-powered sensor nodes. This paper proposes Dozer, a data gathering protocol meeting the requirements of periodic data collection and ultra-low power consumption. The protocol comprises MAC-layer, topology control, and routing all coordinated to reduce energy wastage of the communication subsystem. Using a tree-based network structure, packets are reliably routed towards the data sink. Parents thereby schedule precise rendezvous times for all communication with their children. In a deployed network consisting of 40 TinyOS- enabled sensor nodes, Dozer achieves radio duty cycles in the magnitude of 0.2%.
  • Keywords
    access protocols; energy consumption; low-power electronics; packet radio networks; wireless sensor networks; MAC-layer; TinyOS-enabled sensor nodes; communication subsystem; data collection; data sink; dozer; energy consumption; energy wastage reduction; environmental monitoring; sensor networks; topology control; tree-based network structure; ultra-low power consumption; ultra-low power data gathering protocol; Computer networks; Data engineering; Energy efficiency; Laboratories; Monitoring; Power engineering and energy; Power engineering computing; Routing protocols; Sensor phenomena and characterization; Wireless sensor networks; Algortithms; Measurement; Sensor network; data gathering; energy efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, 2007. IPSN 2007. 6th International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-1-59593-638-7
  • Type

    conf

  • DOI
    10.1109/IPSN.2007.4379705
  • Filename
    4379705