• DocumentCode
    2904329
  • Title

    Lifetime Maximization of UWB-Based Sensor Networks for Event Detection Applications

  • Author

    Shirazi, Ghasem Naddafzadeh ; Lampe, Lutz

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2010
  • fDate
    23-27 May 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Ultra wideband (UWB) technology is well suited for communication in wireless sensor networks, in which low power consumption for data transmission and the availability of precise ranging information are highly desirable. In this paper, we consider the application of UWB in an event-detection sensor network, and we are interested in maximizing the network operational lifetime while satisfying requirements on the detection and false alarm probabilities. Towards the goal of lifetime maximization we (i) jointly find the optimal routes from multiple events to the sink, to avoid the bottleneck-node phenomenon which often limits lifetime, and (ii) allow adjustment of the data rate that each sensor generates to contribute to event detection, in order to balance the energy consumption among the nodes in the network. Using the UWB signal characteristics, we present a convex optimization model to solve the lifetime maximization problem. The numerical results show that the proposed framework leads to significant improvements in network operational lifetime compared to benchmark approaches.
  • Keywords
    convex programming; ultra wideband communication; wireless sensor networks; UWB-based sensor network; convex optimization model; energy consumption; event detection sensor network; false alarm probability; lifetime maximization; ultra wideband technology; wireless sensor network; Application software; Energy consumption; Event detection; Peer to peer computing; Power control; Power engineering and energy; Radar detection; Routing; Sensor phenomena and characterization; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2010 IEEE International Conference on
  • Conference_Location
    Cape Town
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4244-6402-9
  • Type

    conf

  • DOI
    10.1109/ICC.2010.5502170
  • Filename
    5502170