- -

TRADING: Traffic Aware Data Offloading for Big Data Enabled Intelligent Transportation System

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

TRADING: Traffic Aware Data Offloading for Big Data Enabled Intelligent Transportation System

Mostrar el registro sencillo del ítem

Ficheros en el ítem

Thumbnail
Nombre: DarwishBakarKaiwartya ...
Tamaño: 1.428Mb
Formato: PDF
Descripción: Versión del Autor.
Abrir
[Cerrado]
Nombre: TRADING_Traffic_A ...
Tamaño: 2.262Mb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor
dc.contributor.author Darwish, Tasneem S. J. es_ES
dc.contributor.author Bakar, Kamalrulnizam Abu es_ES
dc.contributor.author Kaiwartya, Omprakash es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.date.accessioned 2022-11-07T16:34:08Z
dc.date.available 2022-11-07T16:34:08Z
dc.date.issued 2020-07 es_ES
dc.identifier.issn 0018-9545 es_ES
dc.identifier.uri http://hdl.handle.net/10251/189335
dc.description.abstract [EN] Todays' Intelligent Transportation System (ITS) applications majorly depend on either limited neighbouring traffic data or crowd sourced stale traffic data. Enabling big traffic data analytics in ITS environments is a step closer towards utilizing significant traffic patterns and trends for making more precise and intelligent decisions particularly in connected autonomous vehicular environments. Towards this end, this paper presents a Traffic Aware Data Offloading (TRADING) approach for big traffic data centric ITS applications in connected autonomous vehicular environments. Specifically, TRADING balances offloading data traffic among gateways focusing on vehicular traffic and network status in the vicinity of gateways. In addition, TRADING mitigates the effect of gateway advertisement overhead to liberate the transmission channels for traffic big data transmission. The performance of TRADING is comparatively evaluated in a realistic simulation environment by considering gateway access overhead, load distribution among gateways, data offloading delay, and data offloading success ratio. The comparative performance evaluation results show some significant developments towards enabling big traffic data centric ITS. es_ES
dc.description.sponsorship This work was financially supported by the Post-doctoral Fellowship Scheme of Universiti Teknologi Malaysia for the project: "Vehicular fog computing resource allocation scheme for real-time big data processing in intelligent transportation systems." The review of this article was coordinated by Prof. J. W. Choi. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Transactions on Vehicular Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Logic gates es_ES
dc.subject Big Data es_ES
dc.subject Quality of service es_ES
dc.subject Delays es_ES
dc.subject Real-time systems es_ES
dc.subject Safety es_ES
dc.subject Roads es_ES
dc.subject Gateway es_ES
dc.subject Intelligent transportation systems es_ES
dc.subject VANET es_ES
dc.subject Vehicle-to-internet es_ES
dc.title TRADING: Traffic Aware Data Offloading for Big Data Enabled Intelligent Transportation System es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TVT.2020.2991372 es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Darwish, TSJ.; Bakar, KA.; Kaiwartya, O.; Lloret, J. (2020). TRADING: Traffic Aware Data Offloading for Big Data Enabled Intelligent Transportation System. IEEE Transactions on Vehicular Technology. 69(7):6869-6879. https://doi.org/10.1109/TVT.2020.2991372 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/TVT.2020.2991372 es_ES
dc.description.upvformatpinicio 6869 es_ES
dc.description.upvformatpfin 6879 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 69 es_ES
dc.description.issue 7 es_ES
dc.relation.pasarela S\473156 es_ES
dc.contributor.funder University of Technology Malaysia es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem