Distributed estimation for adaptive sensor selection in wireless sensor networks

Magdi S. Mahmoud*, Matasm M. Hassan Hamid

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Wireless sensor networks (WSNs) are usually deployed for monitoring systems with the distributed detection and estimation of sensors. Sensor selection in WSNs is considered for target tracking. A distributed estimation scenario is considered based on the extended information filter. A cost function using the geometrical dilution of precision measure is derived for active sensor selection. A consensus-based estimation method is proposed in this paper for heterogeneous WSNs with two types of sensors. The convergence properties of the proposed estimators are analyzed under time-varying inputs. Accordingly, a new adaptive sensor selection (ASS) algorithm is presented in which the number of active sensors is adaptively determined based on the absolute local innovations vector. Simulation results show that the tracking accuracy of the ASS is comparable to that of the other algorithms.

Original languageEnglish
Pages (from-to)267-281
Number of pages15
JournalInternational Journal of General Systems
Volume43
Issue number3-4
DOIs
StatePublished - 7 May 2014

Bibliographical note

Funding Information:
The authors would like to thank the reviewers for their constructive comments on our submission. This work is supported by the deanship of scientific research (DSR) at KFUPM through research group project No. RG-1316-1.

Keywords

  • Adaptive sensor selection
  • Distributed estimation
  • Geometrical dilution of precision
  • Wireless sensor networks

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Computer Science Applications

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