Performance Analysis of Distributed Incremental LMS Algorithm with Noisy Links
Joint Authors
Rastegarnia, Amir
Khalili, Azam
Tinati, Mohammad Ali
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-02-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Recently proposed distributed adaptive estimation algorithms for wireless sensor networks (WSNs) do not consider errors due to noisy links, which occur during the transmission of local estimates between sensors.
In this paper, we study the effect of noisy links on the performance of distributed incremental least-mean-square (DILMS) algorithm for the case of Gaussian regressors.
More specifically, we derive theoretical relations which explain how steady-state performance of DILMS algorithm (in terms of mean-square deviation (MSD), excess mean-square error (EMSE), and mean-square error (MSE)) is affected by noisy links.
In our analysis, we use a spatial-temporal energy conservation argument to evaluate the steady-state performance of the individual nodes across the entire network.
Our simulation results show that there is a good match between simulations and derived theoretical expressions.
However, the important result is that unlike the ideal links case, the steady-state MSD, EMSE and MSE are not monotonically increasing functions of step size parameter when links are noisy.
In addition, the optimal step size is found in a closed form for a special case which minimizes the steady-state values of MSD, EMSE, and MSE in each node.
American Psychological Association (APA)
Khalili, Azam& Tinati, Mohammad Ali& Rastegarnia, Amir. 2011. Performance Analysis of Distributed Incremental LMS Algorithm with Noisy Links. International Journal of Distributed Sensor Networks،Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-496211
Modern Language Association (MLA)
Khalili, Azam…[et al.]. Performance Analysis of Distributed Incremental LMS Algorithm with Noisy Links. International Journal of Distributed Sensor Networks No. 2011 (2011), pp.1-10.
https://search.emarefa.net/detail/BIM-496211
American Medical Association (AMA)
Khalili, Azam& Tinati, Mohammad Ali& Rastegarnia, Amir. Performance Analysis of Distributed Incremental LMS Algorithm with Noisy Links. International Journal of Distributed Sensor Networks. 2011. Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-496211
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496211