Elephant Herding Optimization for Energy-Based Localization

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dc.contributor.authorCorreia, Sérgio
dc.contributor.authorBeko, Marko
dc.contributor.authorCruz, Luís Alberto da Silva
dc.contributor.authorTomic, Slavisa
dc.date.accessioned2019-08-26T14:56:52Z
dc.date.available2019-08-26T14:56:52Z
dc.date.issued2018
dc.descriptionSensorspt
dc.description.abstractThis work addresses the energy-based source localization problem in wireless sensors networks. Instead of circumventing the maximum likelihood (ML) problem by applying convex relaxations and approximations, we approach it directly by the use of metaheuristics. To the best of our knowledge, this is the first time that metaheuristics are applied to this type of problem. More specifically, an elephant herding optimization (EHO) algorithm is applied. Through extensive simulations, the key parameters of the EHO algorithm are optimized such that they match the energy decay model between two sensor nodes. A detailed analysis of the computational complexity is presented, as well as a performance comparison between the proposed algorithm and existing non-metaheuristic ones. Simulation results show that the new approach significantly outperforms existing solutions in noisy environments, encouraging further improvement and testing of metaheuristic methods.en
dc.formatapplication/pdf
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10437/9742
dc.language.isoengpt
dc.publisherMDPIpt
dc.rightsopenAccess
dc.subjectALGORITHMSen
dc.subjectWIRELESS SENSOR NETWORKen
dc.subjectENGENHARIA ELETROTÉCNICApt
dc.subjectELECTROTECHNICAL ENGINEERINGen
dc.subjectSENSORSen
dc.subjectOTIMIZAÇÃOpt
dc.subjectOPTIMIZATIONen
dc.subjectALGORITMOSpt
dc.subjectREDES DE SENSORES SEM FIOpt
dc.subjectSENSORESpt
dc.titleElephant Herding Optimization for Energy-Based Localizationen
dc.typearticleen

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