By deploying computing, storage, and bandwidth resources at the user side, vehicular edge
computing (VEC) provides low-delay services for vehicle users. However, due to the limited …

During disasters, swiftly and efficiently evacuating populations in hazardous situations is
crucial to minimize losses. This study proposes a novel framework to address dynamic …

The number of vehicles is increasing at a very high rate throughout the globe. It reached 1
billion in 2010, in 2020 it was around 1.5 billion and experts say this could reach up to 2–2.5 …

Vehicular cloud computing (VCC) and connected vehicles have prompted the intensive
investigation of communication and computing solutions. As an important enabler, software …

With a large of time series dataset from the Internet of Things in Ambient Intelligence-
enabled smart environments, many supervised learning-based anomaly detection methods …

Vehicular ad hoc networks (VANETs) are a fundamental component of intelligent
transportation systems in smart cities. With the support of open and real-time data, these …

One promising area that can be serviced by edge computing in real-time is autonomous
driving. Fully self-driving vehicles can operate on roads and in buildings, such as indoor …

The computation offloading technique is a promising solution that empowers
computationally limited resource devices to run delay-constrained applications efficiently …

In the recent days, data's plays a significant role and its enormous quantity are extracted
based on various IoT devices. Various IoT devices generates huge data and it is processed …

MEC (Mobile Edge Computing) provides both IT service environment and cloud computation
on the edge of the network. This technology not only minimizes the end-to-end latency but …