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dc.contributor.authorWin, Moe Z.
dc.date.accessioned2020-06-08T14:22:32Z
dc.date.available2020-06-08T14:22:32Z
dc.date.issued2018-04
dc.identifier.urihttps://hdl.handle.net/1721.1/125710
dc.description.abstractWireless networks are growing in the value of application in many areas, in which accurate clock synchronization is required when tasks are performed in a collaborative fashion among nodes. Especially, cooperative synchronization techniques lead to significant performance improvement compared with traditional methods. However, the correlation among agents renders the performance analysis of cooperative network synchronization difficult. In this paper, we introduce the concept of information coupling intensity to the analysis of interaction between agents. Our approach enables us to derive closed-form asymptotic expressions under specific network topologies, and relate them to various network parameters.en_US
dc.description.sponsorshipNational Natural Science Foundation of China (Grant No. 61571041)en_US
dc.description.sponsorshipNational Natural Science Foundation of China. Foundation for the Author of National Excellent Doctoral Dissertation (Grant 201445)en_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttps://dx.doi.org/10.1109/ICASSP.2018.8461497en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceOther repositoryen_US
dc.titleOn Information Coupling in Cooperative Network Synchronizationen_US
dc.typeArticleen_US
dc.identifier.citationXiong, Yifeng et al. “On Information Coupling in Cooperative Network Synchronization.” Paper presented at the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Calgary, AB, Canada, 15-20 April 2018: INSPEC Accession Number: 18112977 © 2019 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.relation.journal2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-11-04T14:34:15Z
dspace.date.submission2019-11-04T14:34:18Z
mit.metadata.statusComplete


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