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dc.contributor.authorPrateek, NN
dc.contributor.authorReddy, T. Srinivasa
dc.contributor.authorChandra, Saurabh
dc.contributor.authorArya, Rajeev
dc.contributor.authorVerma, Ajit Kumar
dc.date.accessioned2023-03-23T10:05:19Z
dc.date.available2023-03-23T10:05:19Z
dc.date.created2022-10-19T12:15:02Z
dc.date.issued2022
dc.identifier.citationScientific Reports. 2022, 12 (1), .en_US
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/11250/3060069
dc.description.abstractLocalization in underwater wireless sensor network (UWSN) faces an imminent threat when the triangulating anchor node starts to malfunction. Traditional geometric approaches are insufficient to cope with the survivability of UWSN topology. To address these issues, this paper presents a symplectic geometry for identification of the malicious anchor node. Consequently, a geodesic search algorithm (GSA) based Target localization is proposed which reduces the positioning error by exploiting the phase-space constancy of the underwater acoustic sensor network topology to effectively triangulate the target node despite its mobility. First, a malicious anchor node model is presented. The node movement is expressed in the form of “ripple region”. GSA is then proposed which effectively frees the node metastasis from anchor node geometry, thereby making the underwater system more survivable and resilient. Simulation results evaluate the survivability of the geodesic formalism in terms of the reduced penalty incurred by node movement, as well as the reduced impact of anchor node malfunction. An improvement of 13.46% and 9.26% reveals the utility of the geodesic technique in aquamarine sensor deployments, which would be beneficial in underwater resource exploration and defense planning.en_US
dc.language.isoengen_US
dc.publisherNature Researchen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleMalicious anchor node extraction using geodesic search for survivable underwater wireless sensor networken_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© The Author(s) 2022en_US
dc.source.pagenumber0en_US
dc.source.volume12en_US
dc.source.journalScientific Reportsen_US
dc.source.issue1en_US
dc.identifier.doi10.1038/s41598-022-17956-9
dc.identifier.cristin2062745
dc.source.articlenumber13691en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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