Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network
| bracu.type.group | Research Publications | |
| datacite.rights | Metadata Only | |
| dc.contributor.author | Hossain, Rajkin | |
| dc.contributor.author | Khan, Muhidul Islam | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2026-07-15T04:05:41Z | |
| dc.date.available | 2026-07-15T04:05:41Z | |
| dc.date.issued | 2016-12-01 | |
| dc.description.abstract | 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). | |
| dc.description.version | Published | |
| dc.format.extent | 18 pages | |
| dc.identifier.citation | Hossain, R., Khan, M.I. Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network. J Wireless Com Network 2016, 195 (2016). https://doi.org/10.1186/s13638-016-0698-x | |
| dc.identifier.doi | 10.1186/s13638-016-0698-x | |
| dc.identifier.issn | 16871472 | |
| dc.identifier.other | 2-s2.0-84983652287 | |
| dc.identifier.uri | https://hdl.handle.net/10361/28551 | |
| dc.language.iso | en_US | |
| dc.publisher | Springer International Publishing | |
| dc.relation.hasversion | 10.1186/s13638-016-0698-x | |
| dc.relation.ispartof | Eurasip Journal on Wireless Communications and Networking | |
| dc.relation.ispartofseries | Eurasip Journal on Wireless Communications and Networking | |
| dc.relation.journal | Eurasip Journal on Wireless Communications and Networking | |
| dc.relation.uri | https://link.springer.com/article/10.1186/s13638-016-0698-x?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot&getft_integrator=scopus | |
| dc.rights | true | |
| dc.subject | Average consensus | |
| dc.subject | Binary consensus | |
| dc.subject | Consensus algorithm | |
| dc.subject | Convergence rate | |
| dc.subject | Distributed systems | |
| dc.subject | Faulty node tracking | |
| dc.subject | Wireless sensor networks | |
| dc.subject.lcsh | Sensor networks. | |
| dc.subject.lcsh | Electronic data processing--Distributed processing. | |
| dc.title | Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network | |
| dc.type | Article | |
| oaire.citation.issue | 1 | |
| oaire.citation.volume | 2016 | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.identifier.scopus-author-id | 57189214900 | |
| person.identifier.scopus-author-id | 55232979800 |