A systematic review on Resource Allocation, Task Offloading, and Security Issues in Vehicular Fog Computing: Research challenges and Future Directions

Abstract In a real-time vehicular network, intelligent transportation systems(ITS) play an important role in enhancing vehicular fog computing(VFC), such as vehicular crowdsourcing, urban surveillance, road safety, etc.,. Instead of the main cloud, VFC does computation using parked and traveling automobiles, as fog nodes deliver low bandwidth, reduced speed of response, and data congestion since computation occurs near edge users. Computational resources can be available between the computation resources are allocated efficiently to perform the traffic data recovery from the vehicular fog. VFC faces many issues during the data transmission from the fog nodes, such as resource allocation, task offloading, and security. In future, we plan to grow the total amount of vehicles efficiently, decrease traffic congestion, and enhance computation between the devices. The Internet of Vehicle (IoV) and VFC encourage storage and computing capabilities at the edge vehicle networks, allowing them to perform the most challenging applications in smart vehicle networks while adhering to accurate latency constraints. Inspired by various applications regarding vehicular fog computing, we move to conduct a systematic review of the above-mentioned technologies and vehicle networks. The systematic review focused on various resource allocations, task offloading schemes and security issues related to VFC in communication networks. Furthermore, open research issues and possible solutions are presented.