Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4806
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dc.contributor.authorSingh, Ranveeren_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:35:33Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:35:33Z-
dc.date.issued2021-
dc.identifier.citationPandey, P. K., & Singh, R. (2021). Fast average-consensus on networks using heterogeneous diffusion. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(11), 3421-3425. doi:10.1109/TCSII.2021.3076864en_US
dc.identifier.issn1549-7747-
dc.identifier.otherEID(2-s2.0-85105080813)-
dc.identifier.urihttps://doi.org/10.1109/TCSII.2021.3076864-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/4806-
dc.description.abstractIn this brief, a heterogeneous diffusion-based communication protocol is proposed to achieve a significant improvement in the rate of convergence of the average consensus among the multi-agents. We prove that using the proposed communication protocol, star network, complete network, complete bipartite, n- cube hypergraph, d- regular bipartite graph, and d- regular Ramanujan graph has a faster consensus as compared to the considered state of the art consensus protocol on these networks. Numerical simulations also show the validity of the results on real networks and the model networks. © 2004-2012 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceIEEE Transactions on Circuits and Systems II: Express Briefsen_US
dc.subjectElectrical engineeringen_US
dc.subjectElectronics engineeringen_US
dc.subjectAverage consensusen_US
dc.subjectBipartite graphsen_US
dc.subjectComplete networksen_US
dc.subjectConsensus protocolsen_US
dc.subjectHeterogeneous diffusionsen_US
dc.subjectRamanujan graphsen_US
dc.subjectRate of convergenceen_US
dc.subjectState of the arten_US
dc.subjectMulti agent systemsen_US
dc.titleFast Average-Consensus on Networks Using Heterogeneous Diffusionen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Computer Science and Engineering

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