An Effective MEC Sustained Charging Data Transmission Algorithm in VANET-Based Smart Grids
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2020Metadata
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Li, Guangyu
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An Effective MEC Sustained Charging Data Transmission Algorithm in VANET-Based Smart Grids
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Abstract
Available 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.
Patrocinador
National 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
KFKT201805
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Artículo de publicación ISI Artículo de publicación SCOPUS
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IEEE Access Volumen: 8 Páginas: 101946-101962 (2020)
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