dc.contributorAraujo, Regina Borges de
dc.contributorhttp://genos.cnpq.br:12010/dwlattes/owa/prc_imp_cv_int?f_cod=K4783153D6
dc.contributorhttp://lattes.cnpq.br/4584110230416092
dc.creatorFavarin, Gilmar
dc.date.accessioned2012-04-18
dc.date.accessioned2016-06-02T19:05:56Z
dc.date.available2012-04-18
dc.date.available2016-06-02T19:05:56Z
dc.date.created2012-04-18
dc.date.created2016-06-02T19:05:56Z
dc.date.issued2011-06-27
dc.identifierFAVARIN, Gilmar. Protocolo ciente de correlação espacial para redes de sensores sem fio. 2011. 94 f. Dissertação (Mestrado em Ciências Exatas e da Terra) - Universidade Federal de São Carlos, São Carlos, 2011.
dc.identifierhttps://repositorio.ufscar.br/handle/ufscar/494
dc.description.abstractThe usage of wireless sensor network is increasingly being applied to people s everyday lives everywhere: from energy consumption in households and buildings in general, to vital signs in assistive medicine, infrastructure monitoring, chemical or biological product leaking detection in industries, better surveillance, environmental monitoring, among many others. WSN can be deployed in different densities next to several thousands of nodes. However, the development of WSN solutions are limited mainly by energy resource restriction. The great challenge to WSN solutions is to increase the network longevity while guaranteeing data delivery, reliability and accuracy in an environment prone to different types of failures. The largest source of energy consumption is data transmission. Thus, solutions to WSN needs to avoid intense communication keeping energy consumption balance and so the network longevity. In applications in which high density of nodes is necessary, sensing process can produce a large amount of data which are similar or redundant, due to the special proximity among the nodes. This spatial proximity can be explored in routing solutions to reduce the amount of messages transmitted throughout the network. This work presents the Spatial Correlation Aware Routing Protocol - SCARP , which makes use of spatial correlation to reduce the number of network transmissions. With SCARP, the WSN is configured in cells and nodes of each cell are selected, in an alternated way, to transmit similar or redundant data, and so reducing the number of transmitted messages. This traffic reduction results in less energy consumption and longer network longevity. Evaluation results show that SCARP outperforms similar solutions described in the literature, such as DAARP, which uses clustering and aggregation. SCARP has a positive performance even for large node density scenarios.
dc.publisherUniversidade Federal de São Carlos
dc.publisherBR
dc.publisherUFSCar
dc.publisherPrograma de Pós-Graduação em Ciência da Computação - PPGCC
dc.rightsAcesso Aberto
dc.subjectRedes de computação - protocolos
dc.subjectProtocolo de roteamento
dc.subjectRedes de sensores sem fio
dc.subjectCorrelação espacial
dc.subjectRoteamento plano
dc.subjectAlgoritmo de Roteamento
dc.subjectRouting algorithm
dc.subjectWireless sensor network
dc.subjectspatial correlation
dc.subjectflat routing
dc.titleProtocolo ciente de correlação espacial para redes de sensores sem fio
dc.typeTesis


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