Receding horizon consensus estimation of sensor networks with packet dropouts

Huiping Li, Weisheng Yan, Huizhen Yang

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

5 Scopus citations

Abstract

This paper is concerned with the consensus estimation problem of wireless sensor networks (WSNs) subject to random packet dropouts. In the WSN, the sensor nodes are of general linear dynamics, and the packet dropouts are modeled as Bernoulli processes. The distributed receding horizon estimation (RHE) scheme is proposed to achieve consensus for state estimate. To design such a consensus-based RHE scheme, an optimization problem containing consensus term is first formulated, and then the explicit solution to the optimization problem is provided as the estimation protocol. The sufficient conditions on ensuring the stochastic consensus for state estimates are developed. It is shown that, if the cost functions are designed appropriately and the packet dropout processes fulfill certain conditions, the consensus gain can be designed such that the stochastic consensus is reached.

Original languageEnglish
Title of host publicationProceedings of the 34th Chinese Control Conference, CCC 2015
EditorsQianchuan Zhao, Shirong Liu
PublisherIEEE Computer Society
Pages7659-7664
Number of pages6
ISBN (Electronic)9789881563897
DOIs
StatePublished - 11 Sep 2015
Event34th Chinese Control Conference, CCC 2015 - Hangzhou, China
Duration: 28 Jul 201530 Jul 2015

Publication series

NameChinese Control Conference, CCC
Volume2015-September
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference34th Chinese Control Conference, CCC 2015
Country/TerritoryChina
CityHangzhou
Period28/07/1530/07/15

Keywords

  • consensus estimation
  • packet dropouts
  • Receding horizon estimation
  • sensor networks

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