Energy efficiency of decentralized estimation in wireless sensor networks

Hiroyuki Ohkura, Satoshi Honda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For WSNs, it is important to improve the accuracy of decentralized estimation and reduce energy consumption however difficult to achieve both of these goals at the same time. In this paer, a Kalman filtering approach with quantization of innovation processes is used for such purposes by following preceeding researches and showing another direction to attain new insights about the balance between energy efficiency and improvement of decentralized estimation.

Original languageEnglish
Title of host publicationIWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing
PublisherAssociation for Computing Machinery
ISBN (Print)9781450327473
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 International Workshop on Web Intelligence and Smart Sensing, IWWISS 2014 - Saint Etienne, France
Duration: 2014 Sep 12014 Sep 2

Publication series

NameACM International Conference Proceeding Series

Other

Other2014 International Workshop on Web Intelligence and Smart Sensing, IWWISS 2014
CountryFrance
CitySaint Etienne
Period14/9/114/9/2

Keywords

  • Kalman filter
  • distributed state estimation
  • innovation process

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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