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EODS: An Energy-efficient Online Decision Scheme in delay-sensitive sensor networks for rare-event detection

  • Lijie Xu*
  • , Jiannong Cao
  • , Xuefeng Liu
  • , Haipeng Dai
  • , Guihai Chen
  • *Corresponding author for this work
  • Nanjing University
  • Hong Kong Polytechnic University
  • Shanghai Jiao Tong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 2012 IEEE 18th International Conference on Parallel and Distributed Systems, ICPADS 2012
Pages307-314
Number of pages8
DOIs
StatePublished - 2012
Externally publishedYes
Event18th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2012 - Singapore, Singapore
Duration: 17 Dec 201219 Dec 2012

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
ISSN (Print)1521-9097

Conference

Conference18th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2012
Country/TerritorySingapore
CitySingapore
Period17/12/1219/12/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Duty-cycled WSNs
  • Energyefficient
  • Online decision
  • Rare-event detection

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