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dc.contributor.authorRauniyar, Ashishen_GB
dc.contributor.authorEngelstad, Paal E.en_GB
dc.contributor.authorMoen, Hans Jonas Fossumen_GB
dc.date.accessioned2019-01-16T12:49:48Z
dc.date.accessioned2019-01-23T12:18:17Z
dc.date.available2019-01-16T12:49:48Z
dc.date.available2019-01-23T12:18:17Z
dc.date.issued2018
dc.identifier.citationRauniyar A, Engelstad P.E., Moen HJM. A New Distributed Localization Algorithm Using Social Learning Based Particle Swarm Optimization for Internet of Things. IEEE Vehicular Technology Conference (VTC) Proceedings. 2018;2018-June:1-7en_GB
dc.identifier.urihttp://hdl.handle.net/123456789/78734
dc.identifier.urihttp://hdl.handle.net/20.500.12242/2523
dc.descriptionRauniyar, Ashish; Engelstad, Paal E.; Moen, Hans Jonas Fossum. A New Distributed Localization Algorithm Using Social Learning Based Particle Swarm Optimization for Internet of Things. IEEE Vehicular Technology Conference (VTC) Proceedings 2018 ;Volum 2018-June. s. 1-7en_GB
dc.description.abstractEmerging applications in the Internet of Things (IoT) will depend on the accurate location of thousands of deployed sensors. However, accurate localization of deployed sensors nodes is a classical optimization problem which falls under NP-hard class of problems. Therefore in this work, we propose a new distributed localization algorithm using social learning based particle swarm optimization (SL-PSO) for IoT. With SL-PSO algorithm, we aim to do precise localization of deployed sensor nodes and reduce the computational complexity which will further enhance the lifetime of these resource-constrained IoT sensor nodes. Extensive simulations are carried out to show the effective performance of the SL-PSO algorithm in accurate localization. Experimental results depict that SL-PSO algorithm can not only increase convergence rate but also significantly reduce average localization error compared to traditional particle swarm optimization (PSO) and its other variants.en_GB
dc.language.isoenen_GB
dc.subjectTermSet Emneord::Sensorer
dc.subjectTermSet Emneord::Trådløs kommunikasjon
dc.subjectTermSet Emneord::Svermteknologi
dc.titleA New Distributed Localization Algorithm Using Social Learning Based Particle Swarm Optimization for Internet of Thingsen_GB
dc.typeArticleen_GB
dc.date.updated2019-01-16T12:49:48Z
dc.identifier.cristinID1610625
dc.identifier.cristinID1610625
dc.identifier.doi10.1109/VTCSpring.2018.8417665
dc.source.issn1550-2252
dc.type.documentJournal article
dc.relation.journalIEEE Vehicular Technology Conference (VTC) Proceedings


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