• DocumentCode
    2981341
  • Title

    EODS: An Energy-efficient Online Decision Scheme in Delay-sensitive Sensor Networks for Rare-event Detection

  • Author

    Lijie Xu ; Jiannong Cao ; Xuefeng Liu ; Haipeng Dai ; Guihai Chen

  • Author_Institution
    State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing, China
  • fYear
    2012
  • fDate
    17-19 Dec. 2012
  • Firstpage
    307
  • Lastpage
    314
  • Abstract
    In many applications of WSNs, the events occur infrequently but once they occur, the corresponding information needs to be sent to the sink node in a short period of time for the necessary reactions. Detection of rare events in a fast and energy-efficient manner is an important issue in WSNs. In this paper, based on the optimal solution for the Best-choice Problem with Bounded Random Observation Number, we propose an Energy-efficient Online Decision Scheme (EODS) to handle this problem. Combining with the design of nodes´ duty cycle, the EODS avoids the redundant transmissions and achieves the tradeoff between delay and energy efficiency. Simulation results reveal that the EODS achieves a good balance between delay and energy efficiency.
  • Keywords
    delays; energy conservation; wireless sensor networks; EODS; WSN; best-choice problem; bounded random observation number; delay-sensitive sensor networks; energy-efficient manner; energy-efficient online decision scheme; optimal solution; rare-event detection; redundant transmissions; Delay; Educational institutions; Energy consumption; Probability distribution; Sensors; Surveillance; Wireless sensor networks; duty-cycled WSNs; energy-efficient; online decision; rare-event detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems (ICPADS), 2012 IEEE 18th International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1521-9097
  • Print_ISBN
    978-1-4673-4565-1
  • Electronic_ISBN
    1521-9097
  • Type

    conf

  • DOI
    10.1109/ICPADS.2012.50
  • Filename
    6413682