Vehicular Clustering: Fog Paradigm and Recent Advances

The increasingly popularity of vehicles embeded with high computational devices and resources has attracted great interests as a mean for sharing resources in a new or existing cloud infrastructure. Vehicles can be clustered together to ease the management, increase the effectiveness and capability of vehicular cloud. Clustering would allow these vehicles to pool their resources to serve the upper layers of the network infrastructure. This paper investigates the trends and state of the art of vehicular clustering in the past 5 years especially for parked vehicles in fog computing paradigm. It was observed that static and dynamic clustering are the two common methods, albeit dynamic clustering is more common. The challenges and issues are discussed.