In mobile environments, with the help of larger bandwidths and cloud computing solutions,
any task can be offloaded from a mobile user equipment to be handled remotely. However …

Collaborative driving can significantly reduce the computation offloading from autonomous
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …

The customization of edge computing services is one of the key research fields in sixth-
generation (6G) heterogeneous vehicular networks (HetVNETs). With various personalized …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

The vehicular crowdsensing, which benefits from edge computing devices (ECDs)
distributedly selecting autonomous vehicles (AVs) to complete the sensing tasks and …

Vehicular fog computing (VFC) enhances Intelligent Traffic System (ITS) by computing the
real-time traffic information for accident alerts, path navigation and etc. It utilizes parked and …

The autonomous vehicles (AVs) in smart city, as intelligent mobile robots, are expected to
provide diversified services to facilitate the life of citizens. However, the attributes of the …

This is an open access book. It offers comprehensive, self-contained knowledge on Mobile
Edge Computing (MEC), which is a very promising technology for achieving intelligence in …

The 5G heterogeneous networks (HetNets) are capable of providing real-time computing
services for autonomous vehicles (AVs) by deploying edge computing devices (ECDs) at …

The huge increase in the communication network rate has made the application fields and
scenarios for vehicular ad hoc networks more abundant and diversified and proposed more …