… Current studies on green IoV generally concentrate on energy management of either
battery-enabled RSUs or electric vehicles. However, computing tasks and load balancing among …

… jointly optimizing edge computing … edge computing and caching resources to improve
system utility by making full use of AI-based algorithms. Then we formulate a joint edge computing …

… Guo, “Mobile edge computing-enabled Internet of vehicles: … traffic analysis in edge computing
based Internet of vehicles,” IEEE … Ji, “Mobile edge computing for the Internet of vehicles: …

… vehicles, in addition to other accessible resources. In this article, we first introduce a distributed
vehicular edge computing solu- … edge computing and an online version of vehicular edge …

… In this article, we propose an edge-computing-based … vehicle behavior in this model.
The major contributions of this article are highlighted as follows. 1) We propose an edge-computing-…

… , can be a complement to the centralized cloud computing with computation offloaded to the
… edge servers (ESs). Typically, edge servers are the host of IoV services in edge computing, …

… , edge intelligence, integrating Artificial Intelligence (AI) with edge computing, enables
appropriate edge … Edge intelligence is a promising techinique for IoVs, which can alleviate the …

… time, by training deep learning models in Internet of Vehicles. This research explores edge
computing to migrate video analysis tasks to edge devices to achieve low latency and high …

… In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart
Internet of vehicle (IoV) network, where one edge server can help accomplish the intensive …

… Besides cloud-like services closer to the end-user (Edge, Fog 1, … Various approaches involving
different edge computing … This article examines crucial solutions for edge computing and …