• DocumentCode
    2131826
  • Title

    Near-Optimal Working Slots Selection for a Sensor Via Submodularity

  • Author

    Wu, Xiaopei ; Wu, Yue

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we consider the sensor working periodically and every period was divided into N slots. To reduce energy consumption, the sensor can only be active in K slots of N for every period, the basic problem is which K slots are fine enough (like: minimum packet delay). According to the requirement of packet delay, we introduce a monotonic non-decreasing expected penalty reduction function as our criterion to select working slots, which is a submodular set function. By exploiting the submodularity property, we give a simple greedy algorithm, which is a constant (1 - 1/e) of the optimal working slots set. The experimental results show that the proposed algorithm can find the optimal working slots for nearly all energy conserving rate.
  • Keywords
    energy conservation; wireless sensor networks; energy conserving rate; minimum packet delay; near-optimal working slots selection; penalty reduction function; sensor; submodular set function; Approximation algorithms; Computer science; Delay effects; Disruption tolerant networking; Energy consumption; Greedy algorithms; Polynomials; Power engineering and energy; Sensor phenomena and characterization; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5303219
  • Filename
    5303219