Name
Abstract | ||
|---|---|---|
This study proposes a novel secure and lightweight charging scheduling framework approach to provide the customization of edge computing services and personalized edge computing services for Moving EVs (MEVs) and Parking EVs (PEVs) in 6G heterogeneous Vehicular Networks (HetVNETs). A DAG-based smart-contract well-protected edge computing structural design is specially designed in the scheme by taking the wireless charging models into account including the attributes of 6G smart devices, where each vehicle network infrastructure copes with some more EVs in parking station wireless zone (PEVs) to make computing services whole through a wireless task. Each communication network handles a group of Electric Vehicles (EVs) in the parking zone to fulfill Cloud Computing Services (CCS) in wireless charging tasks. With this architecture, the collaborative computing resource allocation (CCRA) algorithm is developed to assist each network computing and communication hardware and software systems in deciding a customized service strategy (CSS) to fulfill the fast wireless charging and secure easy access of MEVs based on the widely available computational complexity solution held by various network infrastructures. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TGCN.2022.3170303 | IEEE Transactions on Green Communications and Networking |
Keywords | DocType | Volume |
Vehicle wireless charging,DAG cryptocurrency,6G vehicular networks | Journal | 6 |
Issue | ISSN | Citations |
3 | 2473-2400 | 0 |
PageRank | References | Authors |
0.34 | 14 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pouyan Razmjouei | 1 | 0 | 0.34 |
| Abdollah Kavousi-Fard | 2 | 268 | 31.99 |
| Morteza Dabbaghjamanesh | 3 | 0 | 0.34 |
| Tao Jin | 4 | 17 | 6.96 |
| Wencong Su | 5 | 254 | 27.89 |