Variable step-size strategy for distributed parameter estimation of compressible systems in WSNs

Muhammad Omer Bin Saeed; Azzedine Zerguine; Muhammad Saqib Sohail; Saad Rehman; Waleed Ejaz; Alagan Anpalagan

doi:10.1109/CAMAD.2016.7790321

Variable step-size strategy for distributed parameter estimation of compressible systems in WSNs

Muhammad Omer Bin Saeed, Azzedine Zerguine, Muhammad Saqib Sohail, Saad Rehman, Waleed Ejaz, Alagan Anpalagan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

The Internet of Things (IoT) paradigm depends on sensor networks to collect data and perform information processing as well as communication tasks to attain a common goal. This work presents the formulation and analysis of a sparsity-based variable step-size distributed least-mean-square algorithm based on the diffusion cooperation scheme in wireless sensor networks. In particular, the scheme is applied to compressible systems of which the sparse systems are a special case. The performance of the algorithm is assessed for compressible systems in comparison with existing algorithms in order to showcase the superiority of the proposed algorithm. The proposed scheme is then applied to diffusion-based wireless sensor networks for estimating a compressible system and steady-state analysis is carried out for the proposed scheme.

Original language	English
Title of host publication	2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781509025589
DOIs	https://doi.org/10.1109/CAMAD.2016.7790321
State	Published - 16 Dec 2016

Publication series

Name	IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
Volume	0
ISSN (Electronic)	2378-4873

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

ASJC Scopus subject areas

Computer Networks and Communications
Computer Graphics and Computer-Aided Design

Access to Document

10.1109/CAMAD.2016.7790321

Cite this

Bin Saeed, M. O., Zerguine, A., Sohail, M. S., Rehman, S., Ejaz, W., & Anpalagan, A. (2016). Variable step-size strategy for distributed parameter estimation of compressible systems in WSNs. In 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016 (pp. 1-5). Article 7790321 (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMAD.2016.7790321

Bin Saeed, Muhammad Omer ; Zerguine, Azzedine ; Sohail, Muhammad Saqib et al. / Variable step-size strategy for distributed parameter estimation of compressible systems in WSNs. 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1-5 (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD).

@inproceedings{8f27a7ae65ce4792a12a883eee115a45,

title = "Variable step-size strategy for distributed parameter estimation of compressible systems in WSNs",

abstract = "The Internet of Things (IoT) paradigm depends on sensor networks to collect data and perform information processing as well as communication tasks to attain a common goal. This work presents the formulation and analysis of a sparsity-based variable step-size distributed least-mean-square algorithm based on the diffusion cooperation scheme in wireless sensor networks. In particular, the scheme is applied to compressible systems of which the sparse systems are a special case. The performance of the algorithm is assessed for compressible systems in comparison with existing algorithms in order to showcase the superiority of the proposed algorithm. The proposed scheme is then applied to diffusion-based wireless sensor networks for estimating a compressible system and steady-state analysis is carried out for the proposed scheme.",

author = "{Bin Saeed}, {Muhammad Omer} and Azzedine Zerguine and Sohail, {Muhammad Saqib} and Saad Rehman and Waleed Ejaz and Alagan Anpalagan",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.",

year = "2016",

month = dec,

day = "16",

doi = "10.1109/CAMAD.2016.7790321",

language = "English",

series = "IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--5",

booktitle = "2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016",

address = "United States",

}

Bin Saeed, MO, Zerguine, A, Sohail, MS, Rehman, S, Ejaz, W & Anpalagan, A 2016, Variable step-size strategy for distributed parameter estimation of compressible systems in WSNs. in 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016., 7790321, IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD, vol. 0, Institute of Electrical and Electronics Engineers Inc., pp. 1-5. https://doi.org/10.1109/CAMAD.2016.7790321

Variable step-size strategy for distributed parameter estimation of compressible systems in WSNs. / Bin Saeed, Muhammad Omer; Zerguine, Azzedine; Sohail, Muhammad Saqib et al.
2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1-5 7790321 (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD; Vol. 0).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Variable step-size strategy for distributed parameter estimation of compressible systems in WSNs

AU - Bin Saeed, Muhammad Omer

AU - Zerguine, Azzedine

AU - Sohail, Muhammad Saqib

AU - Rehman, Saad

AU - Ejaz, Waleed

AU - Anpalagan, Alagan

PY - 2016/12/16

Y1 - 2016/12/16

N2 - The Internet of Things (IoT) paradigm depends on sensor networks to collect data and perform information processing as well as communication tasks to attain a common goal. This work presents the formulation and analysis of a sparsity-based variable step-size distributed least-mean-square algorithm based on the diffusion cooperation scheme in wireless sensor networks. In particular, the scheme is applied to compressible systems of which the sparse systems are a special case. The performance of the algorithm is assessed for compressible systems in comparison with existing algorithms in order to showcase the superiority of the proposed algorithm. The proposed scheme is then applied to diffusion-based wireless sensor networks for estimating a compressible system and steady-state analysis is carried out for the proposed scheme.

AB - The Internet of Things (IoT) paradigm depends on sensor networks to collect data and perform information processing as well as communication tasks to attain a common goal. This work presents the formulation and analysis of a sparsity-based variable step-size distributed least-mean-square algorithm based on the diffusion cooperation scheme in wireless sensor networks. In particular, the scheme is applied to compressible systems of which the sparse systems are a special case. The performance of the algorithm is assessed for compressible systems in comparison with existing algorithms in order to showcase the superiority of the proposed algorithm. The proposed scheme is then applied to diffusion-based wireless sensor networks for estimating a compressible system and steady-state analysis is carried out for the proposed scheme.

UR - http://www.scopus.com/inward/record.url?scp=85018173655&partnerID=8YFLogxK

U2 - 10.1109/CAMAD.2016.7790321

DO - 10.1109/CAMAD.2016.7790321

M3 - Conference contribution

AN - SCOPUS:85018173655

T3 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD

SP - 1

EP - 5

BT - 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Bin Saeed MO, Zerguine A, Sohail MS, Rehman S, Ejaz W, Anpalagan A. Variable step-size strategy for distributed parameter estimation of compressible systems in WSNs. In 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1-5. 7790321. (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD). doi: 10.1109/CAMAD.2016.7790321

Variable step-size strategy for distributed parameter estimation of compressible systems in WSNs

Abstract

Publication series

Bibliographical note

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this