Vehicular Edge-Computing Framework for Making Use of Parking and Charging Electric Vehicles
In big cities, there are more and more parking lots and charging piles for electric vehicles, and the resources of parking and charging vehicles can be aggregated to provide strong computing power for vehicular edge computing (VEC). In this paper, we propose a VEC framework that uses charging vehicl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/6/4065 |
| _version_ | 1797613555615268864 |
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| author | Qi Deng Feng Zeng |
| author_facet | Qi Deng Feng Zeng |
| author_sort | Qi Deng |
| collection | DOAJ |
| description | In big cities, there are more and more parking lots and charging piles for electric vehicles, and the resources of parking and charging vehicles can be aggregated to provide strong computing power for vehicular edge computing (VEC). In this paper, we propose a VEC framework that uses charging vehicles in parking lots to assist edge servers in processing computational tasks, and an edge crowdsourcing platform (ECP) is designed to manage and integrate the idle computation resources of electric vehicles in parking lots to provide computation services for requesting vehicles. Based on game theory, we first model the interactions among the edge server, the ECP and the requesting vehicles as a Stackelberg game, and theoretically prove the existence of a Nash equilibrium for this Stackelberg game. Then, a genetic algorithm-based game-strategy solving algorithm is proposed to find the optimal strategy for the edge server and ECP. The simulation results demonstrate that the performance of our proposed solution is better than other traditional solutions. Compared with the solution without ECP, our solution can increase the utilities of the edge server and the requesting vehicle by 13.3% and 10.99%, respectively. |
| first_indexed | 2024-03-11T06:57:25Z |
| format | Article |
| id | doaj.art-58e1b806427641108b3b37c90885d49a |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T06:57:25Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-58e1b806427641108b3b37c90885d49a2023-11-17T09:31:00ZengMDPI AGApplied Sciences2076-34172023-03-01136406510.3390/app13064065Vehicular Edge-Computing Framework for Making Use of Parking and Charging Electric VehiclesQi Deng0Feng Zeng1School of Computer Science and Engineering, Central South University, Changsha 410083, ChinaSchool of Computer Science and Engineering, Central South University, Changsha 410083, ChinaIn big cities, there are more and more parking lots and charging piles for electric vehicles, and the resources of parking and charging vehicles can be aggregated to provide strong computing power for vehicular edge computing (VEC). In this paper, we propose a VEC framework that uses charging vehicles in parking lots to assist edge servers in processing computational tasks, and an edge crowdsourcing platform (ECP) is designed to manage and integrate the idle computation resources of electric vehicles in parking lots to provide computation services for requesting vehicles. Based on game theory, we first model the interactions among the edge server, the ECP and the requesting vehicles as a Stackelberg game, and theoretically prove the existence of a Nash equilibrium for this Stackelberg game. Then, a genetic algorithm-based game-strategy solving algorithm is proposed to find the optimal strategy for the edge server and ECP. The simulation results demonstrate that the performance of our proposed solution is better than other traditional solutions. Compared with the solution without ECP, our solution can increase the utilities of the edge server and the requesting vehicle by 13.3% and 10.99%, respectively.https://www.mdpi.com/2076-3417/13/6/4065vehicular edge computingtask offloadinggame theoryedge crowdsourcingparking vehicle |
| spellingShingle | Qi Deng Feng Zeng Vehicular Edge-Computing Framework for Making Use of Parking and Charging Electric Vehicles Applied Sciences vehicular edge computing task offloading game theory edge crowdsourcing parking vehicle |
| title | Vehicular Edge-Computing Framework for Making Use of Parking and Charging Electric Vehicles |
| title_full | Vehicular Edge-Computing Framework for Making Use of Parking and Charging Electric Vehicles |
| title_fullStr | Vehicular Edge-Computing Framework for Making Use of Parking and Charging Electric Vehicles |
| title_full_unstemmed | Vehicular Edge-Computing Framework for Making Use of Parking and Charging Electric Vehicles |
| title_short | Vehicular Edge-Computing Framework for Making Use of Parking and Charging Electric Vehicles |
| title_sort | vehicular edge computing framework for making use of parking and charging electric vehicles |
| topic | vehicular edge computing task offloading game theory edge crowdsourcing parking vehicle |
| url | https://www.mdpi.com/2076-3417/13/6/4065 |
| work_keys_str_mv | AT qideng vehicularedgecomputingframeworkformakinguseofparkingandchargingelectricvehicles AT fengzeng vehicularedgecomputingframeworkformakinguseofparkingandchargingelectricvehicles |