A review of computational offloading research based on game theory in a vehicular edge computing environment
Zijian Qu, Yinghua Tong, M. Li · 2023
A new computing paradigm that extends the capabilities of the cloud to the edge of the network, Vehicular Edge Computing (VEC), provides vehicles with a wealth of resources that can accommodate the rising demand for in-vehicle application computing and storage resources. This is accomplished by seamlessly fusing Mobile Edge Computing with in- vehicle networks (MEC). It provides low-latency, high-bandwidth, and extremely dependable computing services to vehicles and other users with limited computing resources. This paper reviews existing game theory-based task offloading mechanisms in the vehicle edge environment. The first section introduces the current research status of vehicle edge computing in terms of its features, architecture, and applications. It covers the background and significance of task offloading in vehicle edge computing, the VEC architecture, the advantages of VEC, and several alluring application scenarios. A thorough analysis of the body of prior research is then presented, followed by a categorical discussion of game theory-based computational offloading mechanisms in the context of vehicle edges. Finally, predictions for the future of technology are made.