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Energy-efficient resource allocation model for device-to-device communication in 5G wireless personal area networks

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Energy-efficient resource allocation model for device-to-device communication in 5G wireless personal area networks

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dc.contributor.author Jaganathan Logeshwaran es_ES
dc.contributor.author Shanmugasundaram, Nallasamy es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.date.accessioned 2024-06-10T18:23:43Z
dc.date.available 2024-06-10T18:23:43Z
dc.date.issued 2023-09-10 es_ES
dc.identifier.issn 1074-5351 es_ES
dc.identifier.uri http://hdl.handle.net/10251/204937
dc.description.abstract [EN] In general, there are several many devices that can overload the network and reduce performance. Devices can minimize interference and optimize bandwidth usage by using directional antennas and by avoiding overlapping communication ranges. In addition, devices need to carefully manage their use of resources, such as bandwidth and energy. Bandwidth is limited in wireless personal area networks (WPANs), so devices need to carefully select which data to send and receive. In this paper, an intelligent performance analysis of energy-efficient resource optimization model has been proposed for device-to-device (D2D) communication in fifth-generation (5G) WPAN. The proposed energy-efficient resource allocation in D2D communication is important because it helps reduce energy consumption and extend the lifespan of devices that are communicating with each other. By allocating resources in an efficient manner, communication between two devices can be optimized for maximum efficiency. This helps reduce the amount of energy needed to power the communication, as well as the amount of energy needed to power the device that is communicating with another device. Additionally, efficient resource allocation helps reduce the overall cost of communication, as the use of fewer resources results in a lower overall cost. The proposed efficient resource allocation helps reduce the environmental impact of communication, as less energy is used for communication. The proposed energy-efficient resource allocation model (EERAM) has reached 92.97% of energy allocation, 88.72% of power allocation, 87.79% of bandwidth allocation, 87.93% of spectrum allocation, 88.43% of channel allocation, 25.47% of end-to-end delay, 94.33% of network data speed, and 90.99% of network throughput. es_ES
dc.language Inglés es_ES
dc.publisher John Wiley & Sons es_ES
dc.relation.ispartof International Journal of Communication Systems es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Allocation es_ES
dc.subject Bandwidth es_ES
dc.subject Channel es_ES
dc.subject Energy es_ES
dc.subject Network es_ES
dc.subject Overload es_ES
dc.subject Performance es_ES
dc.subject Power es_ES
dc.subject Resource es_ES
dc.subject Spectrum es_ES
dc.subject.classification INGENIERÍA TELEMÁTICA es_ES
dc.title Energy-efficient resource allocation model for device-to-device communication in 5G wireless personal area networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1002/dac.5524 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia es_ES
dc.description.bibliographicCitation Jaganathan Logeshwaran; Shanmugasundaram, N.; Lloret, J. (2023). Energy-efficient resource allocation model for device-to-device communication in 5G wireless personal area networks. International Journal of Communication Systems. 36(16). https://doi.org/10.1002/dac.5524 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1002/dac.5524 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 36 es_ES
dc.description.issue 16 es_ES
dc.relation.pasarela S\510630 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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