Abstract Internet of Vehicles (IoV) enables a wealth of modern vehicular applications, such
as pedestrian detection, real-time video analytics, etc., that can help to improve traffic …

Through placing computation, storage, and communications facilities near the data source,
Edge Computing (EC) is anticipated to extend the intelligence from the central cloud to the …

The rapid advancement of mobile edge computing (MEC) networks has enabled the
augmentation of the computational power of mobile devices (MDs) by offloading …

Multi-vehicle perception fusion is an emerging advanced vehicular application providing
Vehicle Users (VUs) with comprehensive driving assistance. This involves each VU's …

Advancements in smart applications highlight the need for increased processing and
storage capacity at Smart Devices (SDs). To tackle this, Edge computing (EC) is enabled to …

Multi-access edge computing is a promising technology for solving delay sensitive,
computationally intensive applications. It aids users with low-latency access by deploying …

With the development of Internet of Things, massive computation‐intensive tasks are
generated by mobile devices whose limited computing and storage capacity lead to poor …

Rapid development of mobile communications has led to respectable latency-sensitive and
computation-intensive mobile applications. There is a huge contradiction between high …

In response to the ever-increasing demands of users for delay-sensitive applications, issues
on shortening the task completion time in the mobile edge computing (MEC) system has …

With the advance of novel applications, it is harder to deal with computation-intensive tasks
due to the resource-constrained devices. Task offloading in Mobile Edge Computing (MEC) …