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Journal of Applied Sciences >

2017 , Vol. 35 >Issue 6: 717 - 725

DOI: https://doi.org/10.3969/j.issn.0255-8297.2017.06.005

Communication Engineering

CI Distributed Algorithm under Non-stationary and Imperfect Communication Conditions

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  • 1. Department of Information Engineering, Shougang Institute of Technology, Beijing 100041, China;
    2. School of Computing, North China University of Technology, Beijing 100144, China

Received date: 2016-09-26

  Revised date: 2017-03-27

  Online published: 2017-11-30

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Abstract

In wireless sensor networks, distributed estimation is an important issue, in which sensor nodes estimate parameters of interest from the physical world. This paper develops a consensus-plus-innovations (CI) distributed algorithm to deal with distributed estimation. The focus is on the mean convergence performance of a CI distributed algorithm under non-stationary and imperfect communication conditions. Theoretical analysis shows that the algorithm is mean convergent and has an asymptotic normality property. Also, non-stationarity and imperfect communication conditions have no effect on the mean convergence performance and asymptotic normality. However, these conditions have an impact on the asymptotic variance of the algorithm. Validity of the CI distributed algorithm is shown by simulation.

Key words： CI algorithm; distributed estimation; non-stationary; mean convergence

Cite this article

KUANG Hong-mei, LI Wei . CI Distributed Algorithm under Non-stationary and Imperfect Communication Conditions[J]. Journal of Applied Sciences, 2017 , 35(6) : 717 -725 . DOI: 10.3969/j.issn.0255-8297.2017.06.005

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