A space-time fusion scheme for dynamic-event region detection in sensor networks

Tsang Yi Wang, Ming Hsun Yang, Jwo Yuh Wu

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

Abstract

Collaborative detection for continuously-varying event-region scenarios using wireless sensor networks (WSNs) has attracted much attention recently. However, most existing works adopt either a centralized approach, in which a powerful control center is used to reconstruct the entire random field, or a semi-centralized approach, in which extensive data exchange takes place among the sensors by means of real-value data communications. By contrast, the present study proposes a distributed dynamic event-region detection scheme for WSNs. The proposed scheme is based on a two-phase cooperative spacetime decision fusion protocol. In Phase I, each sensor makes an initial decision in accordance with its Gaussian corrupted observation and previous decision. In Phase II, the nodes update their decisions in accordance with the decision information received from their neighboring nodes. The performance of the proposed scheme is compared with that of a semi-centralized detection scheme by means of computer simulations.

Original languageEnglish
Title of host publication2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017010
DOIs
StatePublished - 2 Jul 2016
Event84th IEEE Vehicular Technology Conference, VTC Fall 2016 - Montreal, Canada
Duration: 18 Sep 201621 Sep 2016

Publication series

NameIEEE Vehicular Technology Conference
Volume0
ISSN (Print)1550-2252

Conference

Conference84th IEEE Vehicular Technology Conference, VTC Fall 2016
CountryCanada
CityMontreal
Period18/09/1621/09/16

Keywords

  • Decision fusion
  • Dynamic event
  • Event-region detection
  • Markov random field
  • Spacetime

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