Federated learning (FL) is a distributed machine learning approach that can achieve the
purpose of collaborative learning from a large amount of data that belong to different parties …

A variety of communication networks, such as industrial communication systems, have to
provide strict delay guarantees to the carried flows. Fast and close to optimal quality of …

With this essential guide to vehicular networking, you will learn about everything from
conceptual approaches and state-of-the-art protocols, to system designs and their …

Abstract Delay Tolerant Networks (DTNs) have practical applications in various fields. DTNs
have been studied in-depth by many researchers and multiple high quality survey papers …

The vehicular Internet of Things (IoT) comprises enabling technologies for a large number of
important applications including collaborative autonomous driving and advanced …

This survey provides an in-depth analysis of the different proposals for Vehicular Delay
Tolerant Networks (VDTNs). We introduce the DTN architecture and classify VDTN …

Computer networks are dealing with growing complexity, given the ever-increasing volume
of data produced by all sorts of network nodes. Performance improvements are a non-stop …

Nano-communication is considered to become a major building block for many novel
applications in the health care and fitness sector. Given the recent developments in the …

As one of the key drivers of smart grid, EVs are environment-friendly to alleviate CO2
pollution. Big data analytics could enable the move from Internet of EVs, to optimized EV …

In the past few years, more and more researchers have paid close attention to the emerging
field of delay tolerant networks (DTNs), in which network often partitions and end-to-end …