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Authordc.contributor.authorLi, Guangyu 
Authordc.contributor.authorLi, Xuanpeng 
Authordc.contributor.authorSun, Qiang 
Authordc.contributor.authorBoukhatem, Lila 
Authordc.contributor.authorWu, Jinsong 
Admission datedc.date.accessioned2020-10-14T00:34:49Z
Available datedc.date.available2020-10-14T00:34:49Z
Publication datedc.date.issued2020
Cita de ítemdc.identifier.citationIEEE Access Volumen: 8 Páginas: 101946-101962 (2020)es_ES
Identifierdc.identifier.other10.1109/ACCESS.2020.2998018
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/177114
Abstractdc.description.abstractAvailable charging information exchanges between mobile electric vehicles (EVs) and charging stations are significantly critical in spatio-temporal coordinated charging services introduced by smart girds. In this paper, we propose an efficient information transmission strategy for intelligent charging navigations of enormous moving EVs in large-scale urban environments. Specifically, we firstly design a heterogeneous VANET-based (vehicular ad hoc network) communication framework by means of mobile edge computing concept. In addition, based on the established multi-objective communication optimization problem, we propose an effective charging information dissemination algorithm between mobile edge computing servers and moving EVs. Moreover, in order to further increase charging information delivery efficiency and reduce redundant overheads, an improved local relaying scheme for charging information is designed on the basis of the formulated waiting time model. Finally, a series of simulation experiments are implemented to demonstrate the excellence and feasibility of our charging information transmission strategy.es_ES
Patrocinadordc.description.sponsorshipNational Natural Science Foundation of China (NSFC) 11801494 61906038 Natural Science Foundation of Jiangsu Province BK20190444 BK20170480 BK20170857 Fundamental Research Funds for the Central Universities 30918014107 30919011228 Jiangsu Key Laboratory of Image and Video Understanding for Social Safety KFKT201805es_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherIEEEes_ES
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
Sourcedc.sourceIEEE Accesses_ES
Keywordsdc.subjectCharging information transmissiones_ES
Keywordsdc.subjectElectric vehicleses_ES
Keywordsdc.subjectVANETses_ES
Títulodc.titleAn Effective MEC Sustained Charging Data Transmission Algorithm in VANET-Based Smart Gridses_ES
Document typedc.typeArtículo de revistaes_ES
dcterms.accessRightsdcterms.accessRightsAcceso Abierto
Catalogueruchile.catalogadorcrbes_ES
Indexationuchile.indexArtículo de publicación ISI
Indexationuchile.indexArtículo de publicación SCOPUS


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile