Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …

The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …

Digital twin (DT) has emerged as a promising technology for improving resource allocation
decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network …

This paper proposes a central energy management system (EMS) in smart buildings. It is
based on the coalition method for optimal energy sharing between smart buildings. Game …

The fog computing concept was proposed to help cloud computing for the data processing of
Internet of Things (IoT) applications. However, fog computing faces several challenges such …

Task allocation in edge computing refers to the process of distributing tasks among the
various nodes in an edge computing network. The main challenges in task allocation …

With the emergence of delay-and energy-critical vehicular applications, forwarding sense-
actuate data from vehicles to the cloud became practically infeasible. Therefore, a new …

The demand for vehicular networks is prolifically emerging as it supports advancing in
capabilities and qualities of vehicle services. However, this vehicular network cannot solely …

Computation offloading is considered as a promising method to improve computation
performance of Intelligent Vehicles (IVs), where IVs can offload resource-hungry …