An Effective MEC Sustained Charging Data Transmission Algorithm in VANET-Based Smart Grids

被引：15

作者：

Li, Guangyu ^{[1
]}

Li, Xuanpeng ^{[2
]}

Sun, Qiang ^{[3
]}

Boukhatem, Lila ^{[4
]}

Wu, Jinsong ^{[5
]}

机构：

[1] Nanjing Univ Sci & Technol, Key Lab Intelligent Percept & Syst High Dimens In, Minist Educ, Nanjing 210094, Peoples R China

[2] Southeast Univ, Sch Instrument Sci & Engn, Nanjing 210096, Peoples R China

[3] Yangzhou Univ, Sch Math Sci, Yangzhou 225012, Jiangsu, Peoples R China

[4] Univ Paris Sud, Lab Rech Informat LRI, F-91405 Orsay, France

[5] Univ Chile, Dept Elect Engn, Santiago 8370451, Chile

来源：

IEEE ACCESS | 2020年 / 8卷

基金：

中国国家自然科学基金;

关键词：

Charging information transmission; electric vehicles; VANETs; ELECTRIC VEHICLES; PROTOCOL;

D O I：

10.1109/ACCESS.2020.2998018

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：101946 / 101962

页数：17

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