  Advancements in smart vehicle design have enabled the creation of Internet of
Vehicle (IoV) technologies that can utilize the information provided by various
sensors and wireless communication to perform complex functionality. Many of
these functionalities rely on high computational power and low latency. Mobile
Edge Computing (MEC) technologies have been proposed as a way to meet these
requirements, as their proximity and decentralization provide unique benefits
for networks like real-time communication, higher throughput, and flexibility.
Diverse challenges to the process of offloading data in a MEC-enabled IoV
network have emerged, such as offloading reliability in highly mobile
environments, security for users within the same network, and energy management
to keep users from being disincentivized to participate in the network. This
article surveys research studies that use AI as part of the data offloading
process, categorized based on four main issues: reliability, security, energy
management, and service seller profit. Afterward, this article discusses
challenges and future perspectives for IoV technologies.
