차량 엣지 컴퓨팅 환경에서 게임이론을 이용한 태스크 오프로딩 분배 기법

초록

Recent advancements in artificial intelligence technology have led to its extensive integration in various aspects of the automotiveindustry. Vehicles are no longer perceived solely as means of transportation; they now play a central role in providing a multitude ofservices to drivers and passengers through enhanced mobility and connectivity. However, to deliver such services, substantial computingresources are required, highlighting the growing importance of cloud computing. Nevertheless, cloud computing faces challenges inensuring Quality of Service (QoS) due to processing speed and network latency issues. In response to these challenges, the significanceof Vehicle Edge Computing (VEC) and the concept of Parked Vehicle Edge Computing (PVEC) have been proposed. Parked Vehicle EdgeComputing leverages the resources of parked vehicles to process tasks at the edge server. This technology harnesses the idle computingresources of parked vehicles during their downtime, thereby improving services and generating revenue. This paper introduces techniquesthat utilize game theory concepts such as coalition formation games, VCG mechanisms, and Shapley value to promote collaboration amongparked vehicles and efficiently distribute tasks. The proposed methods effectively utilize the resources of parked vehicles in the PVECplatform, enhancing service quality and demonstrating their performance through evaluation and comparison. This suggests a novelapproach to leveraging the onboard resources of parked vehicles to enhance service quality.

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