Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network

This article was published in the Eurasip Journal on Wireless Communications and Networking [©2016 Published by Springer International Publishing.] and the definite version is available at: http://dx.doi.org/10.1186/s13638-016-0698-x . The article website is at:http://jwcn.eurasipjournals.springero...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar:	Hossain, Rajkin, Khan, Muhidul Islam
Diğer Yazarlar:	Department of Computer Science and Engineering, BRAC University
Materyal Türü:	Makale
Dil:	English
Baskı/Yayın Bilgisi:	© 2016 Springer Netherlands 2016
Konular:	Algorithms Bins Distributed computer systems Wireless sensor networks Average consensus Binary consensus Consensus algorithms Convergence rates Distributed systems Faulty node Sensor nodes
Online Erişim:	http://hdl.handle.net/10361/6645 http://dx.doi.org/10.1186/s13638-016-0698-x

id	10361-6645
record_format	dspace
spelling	10361-66452017-01-04T05:40:29Z Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network Hossain, Rajkin Khan, Muhidul Islam Department of Computer Science and Engineering, BRAC University Algorithms Bins Distributed computer systems Wireless sensor networks Average consensus Binary consensus Consensus algorithms Convergence rates Distributed systems Faulty node Sensor nodes This article was published in the Eurasip Journal on Wireless Communications and Networking [©2016 Published by Springer International Publishing.] and the definite version is available at: http://dx.doi.org/10.1186/s13638-016-0698-x . The article website is at:http://jwcn.eurasipjournals.springeropen.com/articles/10.1186/s13638-016-0698-x One of the challenging issues in a distributed computing system is to reach on a decision with the presence of so many faulty nodes. These faulty nodes may update the wrong information, provide misleading results and may be nodes with the depleted battery power. Consensus algorithms help to reach on a decision even with the faulty nodes. Every correct node decides some values by a consensus algorithm. If all correct nodes propose the same value, then all the nodes decide on that. Every correct node must agree on the same value. Faulty nodes do not reach on the decision that correct nodes agreed on. Binary consensus algorithm and average consensus algorithm are the most widely used consensus algorithm in a distributed system. We apply binary consensus and average consensus algorithm in a distributed sensor network with the presence of some faulty nodes. We evaluate these algorithms for better convergence rate and error rate. Â© 2016, The Author(s). Published 2016-11-01T04:07:56Z 2016-11-01T04:07:56Z 2016 Article Hossain, R., & Khan, M. I. (2016). Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network. EURASIP Journal on Wireless Communications and Networking, 2016(1), 195. https://doi.org/10.1186/s13638-016-0698-x 16871472 http://hdl.handle.net/10361/6645 http://dx.doi.org/10.1186/s13638-016-0698-x en http://jwcn.eurasipjournals.springeropen.com/articles/10.1186/s13638-016-0698-x © 2016 Springer Netherlands
institution	Brac University
collection	Institutional Repository
language	English
topic	Algorithms Bins Distributed computer systems Wireless sensor networks Average consensus Binary consensus Consensus algorithms Convergence rates Distributed systems Faulty node Sensor nodes
spellingShingle	Algorithms Bins Distributed computer systems Wireless sensor networks Average consensus Binary consensus Consensus algorithms Convergence rates Distributed systems Faulty node Sensor nodes Hossain, Rajkin Khan, Muhidul Islam Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network
description	This article was published in the Eurasip Journal on Wireless Communications and Networking [©2016 Published by Springer International Publishing.] and the definite version is available at: http://dx.doi.org/10.1186/s13638-016-0698-x . The article website is at:http://jwcn.eurasipjournals.springeropen.com/articles/10.1186/s13638-016-0698-x
author2	Department of Computer Science and Engineering, BRAC University
author_facet	Department of Computer Science and Engineering, BRAC University Hossain, Rajkin Khan, Muhidul Islam
format	Article
author	Hossain, Rajkin Khan, Muhidul Islam
author_sort	Hossain, Rajkin
title	Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network
title_short	Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network
title_full	Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network
title_fullStr	Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network
title_full_unstemmed	Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network
title_sort	efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network
publisher	© 2016 Springer Netherlands
publishDate	2016
url	http://hdl.handle.net/10361/6645 http://dx.doi.org/10.1186/s13638-016-0698-x
work_keys_str_mv	AT hossainrajkin efficientconsensusalgorithmfortheaccuratefaultynodetrackingwithfasterconvergencerateinadistributedsensornetwork AT khanmuhidulislam efficientconsensusalgorithmfortheaccuratefaultynodetrackingwithfasterconvergencerateinadistributedsensornetwork
_version_	1814308867123707904

Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network

Benzer Materyaller