The huge amount of data generated by the Internet of things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

The vehicular network is taking great attention from both academia and industry to enable
the intelligent transportation system (ITS), autonomous driving, and smart cities. The system …

The edge computing system attracts much more attention and is expected to satisfy ultra-low
response time required by emerging IoT applications. Nevertheless, as there were problems …

Mobile vehicles have been considered as potential edge servers to provide computation
resources for the emerging Intelligent Transportation System (ITS) applications. However …

The quality of service (QoS) in 5G/6G communication enormously depends upon the
mobility and agility of the network architecture. An increase in the possible uses of 5G …

With powerful storage and computation capability, vehicular edge computing is considered
as a promising paradigm to enhance the safety and quality-of-service of vehicles in …

The development of information technology and intelligence in urban rail transit has
attracted great attention. The requirement for compute-intensive and delay-sensitive …

Edge computing is a new paradigm that reduces latency and saves bandwidth by deploying
edge servers in different geographic locations. This technology plays a crucial role in the …

Many advancements are being made in vehicular networks, such as self-driving, dynamic
route scheduling, real-time traffic condition monitoring, and on-board infotainment services …

The exponential growth of data traffic from mobile devices leads to a need of heterogeneous
networks (HetNets) which integrate multiple radio access technologies (multi-RATs) to …