Energy-Efficient Fault-Tolerant Dynamic Event Region Detection in Wireless Sensor Networks

Hans-Jacob Enemark, Yue Zhang, Nicola Dragoni, Charalampos Orfanidis

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Fault-tolerant event detection is fundamental to wireless sensor network applications. Existing approaches usually adopt neighborhood collaboration for better detection accuracy, while need more energy consumption due to communication. Focusing on energy efficiency, this paper makes an improvement to a hybrid algorithm for dynamic event region detection, such as real-time tracking of chemical leakage regions. Considering the characteristics of the moving away dynamic events, we propose a return back condition for the hybrid algorithm from distributed neighborhood collaboration, in which a node makes its detection decision based on decisions received from its spatial and temporal neighbors, to local non-communicative decision making. The simulation results demonstrate that the improved algorithm does not degrade the detection accuracy of the original algorithm, while it has better energy efficiency with the number of messages exchanged in the network decreased.
Original languageEnglish
Title of host publicationProceedings of the 81st Vehicular Technology Conference (VTC Spring 2015)
PublisherIEEE
Publication date2015
Pages1-5
ISBN (Print)978-1-4799-8088-8
DOIs
Publication statusPublished - 2015
Event81st Vehicular Technology Conference (VTC Spring 2015) - Glasgow, United Kingdom
Duration: 11 May 201514 May 2015
Conference number: 81
http://ieeevtc.org/vtc2015spring/

Conference

Conference81st Vehicular Technology Conference (VTC Spring 2015)
Number81
Country/TerritoryUnited Kingdom
CityGlasgow
Period11/05/201514/05/2015
Internet address

Keywords

  • Aerospace
  • Communication, Networking and Broadcast Technologies
  • Components, Circuits, Devices and Systems
  • Computing and Processing
  • Fields, Waves and Electromagnetics
  • Power, Energy and Industry Applications
  • Signal Processing and Analysis
  • Transportation

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