On the Use of Graphs for Node Connectivity in Wireless Sensor Networks for Hostile Environments

dc.contributor.affiliationEscuela Técnica Superior de Ingeniería de Telecomunicación
dc.contributor.affiliationDepartamento de Comunicaciones
dc.contributor.authorGarcía-González, Emmanueles_ES
dc.contributor.authorChimal-Eguía, Juan C.es_ES
dc.contributor.authorRivero-Angeles, Mario E.es_ES
dc.contributor.authorPla, Vicent
dc.contributor.funderAgencia Estatal de Investigaciónes_ES
dc.contributor.funderEuropean Regional Development Fundes_ES
dc.contributor.funderInstituto Politécnico Nacional, Méxicoes_ES
dc.contributor.funderConsejo Nacional de Ciencia y Tecnología, Méxicoes_ES
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidadeses_ES
dc.contributor.funderComisión de Operación y Fomento de Actividades Académicas, Instituto Politécnico Nacionales_ES
dc.date.accessioned2021-01-14T04:32:37Z
dc.date.available2021-01-14T04:32:37Z
dc.date.issued2019-11-19es_ES
dc.description.abstract[EN] Wireless sensor networks (WSNs) have been extensively studied in the literature. However, in hostile environments where node connectivity is severely compromised, the system performance can be greatly affected. In this work, we consider such a hostile environment where sensor nodes cannot directly communicate to some neighboring nodes. Building on this, we propose a distributed data gathering scheme where data packets are stored in different nodes throughout the network instead to considering a single sink node. As such, if nodes are destroyed or damaged, some information can still be retrieved. To evaluate the performance of the system, we consider the properties of different graphs that describe the connections among nodes. It is shown that the degree distribution of the graph has an important impact on the performance of the system. A teletraffic analysis is developed to study the average buffer size and average packet delay. To this end, we propose a reference node approach, which entails an approximation for the mathematical modeling of these networks that effectively simplifies the analysis and approximates the overall performance of the system.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationGarcía-González, E.; Chimal-Eguía, JC.; Rivero-Angeles, ME.; Pla, V. (2019). On the Use of Graphs for Node Connectivity in Wireless Sensor Networks for Hostile Environments. Journal of Sensors. 2019:1-22. https://doi.org/10.1155/2019/7409329es_ES
dc.description.referencesEren, T. (2017). The effects of random geometric graph structure and clustering on localizability of sensor networks. International Journal of Distributed Sensor Networks, 13(12), 155014771774889. doi:10.1177/1550147717748898es_ES
dc.description.referencesClauset, A., Shalizi, C. R., & Newman, M. E. J. (2009). Power-Law Distributions in Empirical Data. SIAM Review, 51(4), 661-703. doi:10.1137/070710111es_ES
dc.description.referencesHakimi, S. L. (1962). On Realizability of a Set of Integers as Degrees of the Vertices of a Linear Graph. I. Journal of the Society for Industrial and Applied Mathematics, 10(3), 496-506. doi:10.1137/0110037es_ES
dc.description.sponsorshipThe authors wish to thank the Consejo Nacional de Ciencia y Tecnologia (CONACyT), the Comision de Operacion y Fomento de Actividades Academicas, Instituto Politecnico Nacional (COFAA-IPN, project numbers 20196225 and 20196678), and the Estimulos al Desempeno de los Investigadores del Instituto Politecnico Nacional (EDI-IPN) for the support given for this work. The work of V. Pla was supported by Grant PGC2018-094151-B-I00 (MCIU/AEI/FEDER, UE).es_ES
dc.description.upvformatpfin22es_ES
dc.description.upvformatpinicio1es_ES
dc.description.volume2019es_ES
dc.identifier.doi10.1155/2019/7409329es_ES
dc.identifier.issn1687-725Xes_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/158942
dc.languageIngléses_ES
dc.publisherHindawi Limitedes_ES
dc.relation.ispartofJournal of Sensorses_ES
dc.relation.pasarelaS\398952es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/COFAA//20196225/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/COFAA//20196678/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-094151-B-I00/ES/SLICING DINAMICO EN REDES DE ACCESO RADIO 5G/es_ES
dc.relation.publisherversionhttps://doi.org/10.1155/2019/7409329es_ES
dc.relation.references10.1177/1550147717748898es_ES
dc.relation.references10.1155/2016/3986321es_ES
dc.relation.references10.3390/s17112553es_ES
dc.relation.references10.1016/j.jnca.2018.02.010es_ES
dc.relation.references10.1016/j.adhoc.2017.12.008es_ES
dc.relation.references10.1109/tnet.2017.2653109es_ES
dc.relation.references10.3390/s18061691es_ES
dc.relation.references10.1007/978-3-662-05382-9es_ES
dc.relation.references10.1137/070710111es_ES
dc.relation.references10.1137/0110037es_ES
dc.relation.references10.1016/0012-365X(91)90311-Oes_ES
dc.rightsReconocimiento (by)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subject.classificationINGENIERIA TELEMATICAes_ES
dc.titleOn the Use of Graphs for Node Connectivity in Wireless Sensor Networks for Hostile Environmentses_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
person.identifier15839
person.identifier.orcid0000-0002-0894-9494
relation.isAuthorOfPublication03f7bcf3-4f55-4446-b5d5-c90f1dbb1d29
relation.isAuthorOfPublication.latestForDiscovery03f7bcf3-4f55-4446-b5d5-c90f1dbb1d29
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