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.springerop...
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© 2016 Springer Netherlands
2016
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| オンライン･アクセス: | http://hdl.handle.net/10361/6674 http://dx.doi.org/10.1186/s13638-016-0698-x |
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10361-66742017-01-04T05:34:24Z Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network Hossain, Rajkin Khan, Muhidulislam 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 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. © 2016, The Author(s). Published 2016-11-02T05:52:04Z 2016-11-02T05:52:04Z 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/10361/6674 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 |
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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 |
| spellingShingle |
Algorithms Bins Distributed computer systems Wireless sensor networks Average consensus Binary consensus Consensus algorithms Convergence rates Distributed systems Faulty node Hossain, Rajkin Khan, Muhidulislam 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, Muhidulislam |
| format |
Article |
| author |
Hossain, Rajkin Khan, Muhidulislam |
| 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/10361/6674 http://dx.doi.org/10.1186/s13638-016-0698-x |
| work_keys_str_mv |
AT hossainrajkin efficientconsensusalgorithmfortheaccuratefaultynodetrackingwithfasterconvergencerateinadistributedsensornetwork AT khanmuhidulislam efficientconsensusalgorithmfortheaccuratefaultynodetrackingwithfasterconvergencerateinadistributedsensornetwork |
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