Self-optimization of dense wireless sensor networks based on simulated annealing

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dc.contributor.authorPinto, A. R. [UNESP]
dc.contributor.authorCansian, Adriano [UNESP]
dc.contributor.authorMacHado, José Marcio [UNESP]
dc.contributor.authorMontez, Carlos
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de Santa Catarina (UFSC)
dc.date.accessioned2014-05-27T11:27:06Z
dc.date.available2014-05-27T11:27:06Z
dc.date.issued2012-10-05
dc.description.abstractWireless sensor network (WSN) Is a technology that can be used to monitor and actuate on environments in a non-intrusive way. The main difference from WSN and traditional sensor networks is the low dependability of WSN nodes. In this way, WSN solutions are based on a huge number of cheap tiny nodes that can present faults in hardware, software and wireless communication. The deployment of hundreds of nodes can overcome the low dependability of individual nodes, however this strategy introduces a lot of challenges regarding network management, real-time requirements and self-optimization. In this paper we present a simulated annealing approach that self-optimize large scale WSN. Simulation results indicate that our approach can achieve self-optimization characteristics in a dynamic WSN. © 2012 IEEE.en
dc.description.affiliationDCCE UNESP Universidade Estadual Paulista, São José do Rio Preto
dc.description.affiliationUFSC Universidade Federal de Santa Catarina, Florianópolis
dc.description.affiliationUnespDCCE UNESP Universidade Estadual Paulista, São José do Rio Preto
dc.identifierhttp://dx.doi.org/10.1109/LATW.2012.6261236
dc.identifier.citationLATW 2012 - 13th IEEE Latin American Test Workshop.
dc.identifier.doi10.1109/LATW.2012.6261236
dc.identifier.lattes0095921943345974
dc.identifier.orcid0000-0003-4494-1454
dc.identifier.scopus2-s2.0-84866924986
dc.identifier.urihttp://hdl.handle.net/11449/73652
dc.language.isoeng
dc.relation.ispartofLATW 2012 - 13th IEEE Latin American Test Workshop
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectSelf-Optimization
dc.subjectSimulated Annealing
dc.subjectWireless Sensor Networks
dc.subjectNon-intrusive
dc.subjectReal time requirement
dc.subjectSelf-optimization
dc.subjectWireless communications
dc.subjectNetwork management
dc.subjectSimulated annealing
dc.subjectWireless sensor networks
dc.subjectWireless telecommunication systems
dc.subjectSensor nodes
dc.titleSelf-optimization of dense wireless sensor networks based on simulated annealingen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
unesp.author.lattes0095921943345974[2]
unesp.author.orcid0000-0003-4494-1454[2]
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt

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Artigos - Ciência da Computação e Estatística - IBILCE