With the advent of fog computing, its use to provide real-time services at the network's edge
has increased. However, running computationally-demanding applications in smart vehicles …

Traffic information exchange between vehicles and city-wide traffic command center will
enable various traffic management applications in future smart cities. These applications …

With the emerging vehicular applications, such as real-time situational awareness and
cooperative lane change, there exist huge demands for sufficient computing resources at the …

Fog computing is a paradigm that utilizes the advantages of both the cloud and the edge
devices providing quality services, reducing latency, providing mobility support, multi …

Urban environments are a particularly important application scenario for the Internet of
Things (IoT). These environments are usually dense and dynamic; in contrast, IoT devices …

Fog computing extends the facility of cloud computing from the center to edge networks.
Although fog computing has the advantages of location awareness and low latency, the …

Fog computing has proved its importance over legacy cloud architectures for computation,
storage, and communication where edge devices are used to facilitate the delay-sensitive …

Despite the increasing usage of cloud computing, there are still issues unsolved due to
inherent problems of cloud computing such as unreliable latency, lack of mobility support …

With increasing time-critical and computation-intensive tasks generated by mobile
applications, vehicular fog computing (VFC) has emerged as a promising solution to relieve …