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

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

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dc.contributor.author García-González, Emmanuel es_ES
dc.contributor.author Chimal-Eguía, Juan C. es_ES
dc.contributor.author Rivero-Angeles, Mario E. es_ES
dc.contributor.author Pla, Vicent es_ES
dc.date.accessioned 2021-01-14T04:32:37Z
dc.date.available 2021-01-14T04:32:37Z
dc.date.issued 2019-11-19 es_ES
dc.identifier.issn 1687-725X es_ES
dc.identifier.uri http://hdl.handle.net/10251/158942
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. es_ES
dc.description.sponsorship The 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.language Inglés es_ES
dc.publisher Hindawi Limited es_ES
dc.relation.ispartof Journal of Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.title On the Use of Graphs for Node Connectivity in Wireless Sensor Networks for Hostile Environments es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1155/2019/7409329 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/COFAA//20196225/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/COFAA//20196678/ es_ES
dc.relation.projectID info: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.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation García-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/10.1155/2019/7409329 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1155/2019/7409329 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 22 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2019 es_ES
dc.relation.pasarela S\398952 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Instituto Politécnico Nacional, México es_ES
dc.contributor.funder Consejo Nacional de Ciencia y Tecnología, México es_ES
dc.contributor.funder Ministerio de Ciencia, Innovación y Universidades es_ES
dc.contributor.funder Comisión de Operación y Fomento de Actividades Académicas, Instituto Politécnico Nacional es_ES
dc.description.references Eren, 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:10.1177/1550147717748898 es_ES
dc.description.references Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009). Power-Law Distributions in Empirical Data. SIAM Review, 51(4), 661-703. doi:10.1137/070710111 es_ES
dc.description.references Hakimi, 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:10.1137/0110037 es_ES


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