Vehicular fog computing (VFC) has emerged as a promising solution to mitigate vehicular
network computation load. In the hierarchical VFC, vehicles are employed as mobile fog …

Vehicular fog computing is an emerging paradigm for delay-sensitive computations. In this
highly dynamic resource-sharing environment, optimal offloading decision for effective …

In recent years, edge computing has become an increasingly popular computing paradigm
to enable real-time data processing and mobile intelligence. Edge computing allows …

The recent surge in the number of connected vehicles and vehicular applications really
benefits citizens. Various vehicular applications are developed to cater for the increasingly …

Vehicular edge computing (VEC) has emerged as a promising paradigm to ensure the real-
time task processing caused by the emerging 5G or high level intelligent assisted driving …

In the future smart cities, connected vehicles provide various infotainment and nonsafety
services using vehicle to vehicle and vehicle to road side units (RSUs) communications. To …

The resource-constrained IoT devices often offload tasks to Fog nodes (FNs) owing to the
intermittent WAN delays and multi-hopping by executing at remote cloud servers. An efficient …

Edge computing is a new paradigm that reduces latency and saves bandwidth by deploying
edge servers in different geographic locations. This technology plays a crucial role in the …

Collaborative vehicular network is a key enabler to meet the stringent communication and
computing requirements of user vehicles (UVs). A UV dynamically optimizes task offloading …

This paper presents a novel unmanned aerial vehicle (UAV)-aided mobile edge computing
(MEC) architecture for vehicular networks. It is considered that the vehicles should complete …