With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

Over the past decade, we have witnessed an enormous amount of research effort dedicated
to the design of efficient outlier detection techniques while taking into consideration …

In vehicle ad-hoc networks, the progression of wireless communication technology to 6G,
overcomes storage, processing, privacy, and power limits to create an efficient and …

Internet of Things (IoT) is an innovative paradigm envisioned to provide massive
applications that are now part of our daily lives. Millions of smart devices are deployed within …

With the advent of new technologies in both hardware and software, we are in the need of a
new type of application that requires huge computation power and minimal delay …

The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

As a distributed learning approach, federated learning trains a shared learning model over
distributed datasets while preserving the training data privacy. We extend the application of …

Internet of Vehicles (IoV), when empowered by aerial communications, provides vehicles
with seamless connections and proximate computing services. The unpredictable network …

The development of the Internet of vehicles (IoV) has spawned a series of driving assistance
services (eg, collision warning), which improves the safety and intelligence of transportation …

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 …