Energy-Efficient Cooperative Spectrum Sensing based on Stochastic Programming in Dynamic Cognitive Radio Sensor Networks Normal

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Show simple item record Kaschel, Hector Toledo, Karel Torres Gómez, Jorge Fernández-Getino García, María Julia 2021-05-19T10:44:14Z 2021-05-19T10:44:14Z 2021
dc.identifier.bibliographicCitation Kaschel, H., Toledo, K., Gomez, J. T. & Garcia, M. J. F. G. (2021). Energy-Efficient Cooperative Spectrum Sensing Based on Stochastic Programming in Dynamic Cognitive Radio Sensor Networks. IEEE Access, vol. 9, pp. 720–732.
dc.identifier.issn 2169-3536
dc.description.abstract Nowadays, Cognitive Radio Sensor Networks (CRSN) arise as an emergent technology to deal with the spectrum scarcity issue and the focus is on devising novel energy-efficient solutions. In static CRSN, where nodes have spatial fixed positions, several reported solutions are implemented via sensor selection strategies to reduce consumed energy during cooperative spectrum sensing. However, energy-efficient solutions for dynamic CRSN, where nodes are able to change their spatial positions due to their movement, are nearly reported despite today's growing applications of mobile networks. This paper investigates a novel framework to optimally predict energy consumption in cooperative spectrum sensing tasks, considering node mobility patterns suitable to model dynamic CRSN. A solution based on the Kataoka criterion is presented, that allows to minimize the consumed energy. It accurately estimates -with a given probability-the spent energy on the network, then to derive an optimal energy-efficient solution. An algorithm of reduced-complexity is also implemented to determine the total number of active nodes improving the exhaustive search method. Proper performance of the proposed strategy is illustrated by extensive simulation results for pico-cells and femto-cells in dynamic scenarios.
dc.description.sponsorship This work was supported in part by the DICYT Project, Direction of Research, Development and Innovation, Universidad de Santiago de Chile, USACH, under Grant 061813KC, in part by the CONICYT-PFCHA/Doctorado Nacional/2016-21160292, and in part by the Spanish National Project TERESA-ADA (MINECO/AEI/FEDER, UE) under Grant TEC2017-90093-C3-2-R.
dc.format.extent 13
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2020 by the author(s).
dc.rights Atribución 3.0 España
dc.subject.other Dynamic CRSN
dc.subject.other Energy efficiency
dc.subject.other Spectrum sensing
dc.subject.other Stochastic programming
dc.title Energy-Efficient Cooperative Spectrum Sensing based on Stochastic Programming in Dynamic Cognitive Radio Sensor Networks Normal
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TEC2017-90093-C3-2-R
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 720
dc.identifier.publicationlastpage 732
dc.identifier.publicationtitle IEEE Access
dc.identifier.publicationvolume 9
dc.identifier.uxxi AR/0000027509
dc.contributor.funder Ministerio de Economía y Competitividad (España)
dc.affiliation.dpto UC3M. Departamento de Teoría de la Señal y Comunicaciones
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Comunicaciones
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