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Entropy based routing for mobile, low power and lossy wireless sensors networks

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Entropy based routing for mobile, low power and lossy wireless sensors networks

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dc.contributor.author Carvalho, Celso es_ES
dc.contributor.author Mota, Edjair es_ES
dc.contributor.author Ferraz, Eric es_ES
dc.contributor.author Seixas, Paulo es_ES
dc.contributor.author Souza, Paulo es_ES
dc.contributor.author Tavares, Vitor es_ES
dc.contributor.author Lucena Filho, Walfredo es_ES
dc.contributor.author Ferreira, David es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.contributor.author Tavares De Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.date.accessioned 2020-12-23T04:31:43Z
dc.date.available 2020-12-23T04:31:43Z
dc.date.issued 2019-07 es_ES
dc.identifier.uri http://hdl.handle.net/10251/157764
dc.description.abstract [EN] Routing protocol for low-power and lossy networks is a routing solution specifically developed for wireless sensor networks, which does not quickly rebuild topology of mobile networks. In this article, we propose a mechanism based on mobility entropy and integrate it into the corona RPL (CoRPL) mechanism, which is an extension of the IPv6 routing protocol for low-power and lossy networks (RPL). We extensively evaluated our proposal with a simulator for Internet of Things and wireless sensor networks. The mobility entropy-based mechanism, called CoRPL+E, considers the displacement of nodes as a deciding factor to define the links through which nodes communicate. Simulation results show that the proposed mechanism, when compared to CoRPL mechanism, is effective in reducing packet loss and latency in simulated mobile routing protocol for low-power and lossy networks. From the simulation results, one can see that the CoRPL+E proposal mechanism provides a packet loss reduction rate of up to 50% and delays reduction by up to 25% when compared to CoRPL mechanism. es_ES
dc.description.sponsorship The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was funded by SIDIA Institute of Science and Technology, by Coordenacao de Aperfeicxoamento de Pessoal de Nivel Superior (CAPES), by Fundacao de Amparo a Pesquisa do Estado do Amazonas (FAPEAM)-support programs (Programa Primeiros Projetos (PPP) and Programa de Tecnologia da Informacao na Amazonia (PROTI)-Amazonia-Mobilidade), by Camara Tecnica de Reconstrucao e Recuperacao de Infraestrutura (CT-INFRA) of Ministerio da Ciencia, Tecnologia, Inovacoes e Comunicacoes(MCTI)/Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq), and by Secretaria de Estado de Ciencia, Tecnologia e Inovacao Amazonas (SECTI-AM) and Government of Amazon State, Brazil. es_ES
dc.language Inglés es_ES
dc.publisher SAGE Publications es_ES
dc.relation.ispartof International Journal of Distributed Sensor Networks (Online) es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Wireless sensor networks es_ES
dc.subject Low-power and lossy networks es_ES
dc.subject Routing protocol for low-power and lossy networks es_ES
dc.subject Routing es_ES
dc.subject Mobility es_ES
dc.subject Internet of Things es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Entropy based routing for mobile, low power and lossy wireless sensors networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1177/1550147719866134 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Carvalho, C.; Mota, E.; Ferraz, E.; Seixas, P.; Souza, P.; Tavares, V.; Lucena Filho, W.... (2019). Entropy based routing for mobile, low power and lossy wireless sensors networks. International Journal of Distributed Sensor Networks (Online). 15(7):1-19. https://doi.org/10.1177/1550147719866134 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1177/1550147719866134 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 19 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 15 es_ES
dc.description.issue 7 es_ES
dc.identifier.eissn 1550-1477 es_ES
dc.relation.pasarela S\392140 es_ES
dc.contributor.funder Governo do Estado do Amazonas es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Sidia Instituto de Ciência e Tecnologia es_ES
dc.contributor.funder Fundação de Amparo à Pesquisa do Estado do Amazonas es_ES
dc.contributor.funder Secretaria de Estado de Ciencia, Tecnologia e Inovacao Amazonas es_ES
dc.contributor.funder Ministerio da Ciencia, Tecnologia, Inovacoes e Comunicacoes, Brasil es_ES
dc.contributor.funder Coordenaçao de Aperfeiçoamento de Pessoal de Nível Superior, Brasil es_ES
dc.contributor.funder Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil es_ES
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