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 …

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

Smartphone devices can play a key role on emergency scenarios thanks to their
pervasiveness, and the possibility to convey emergency requests from the involved people …

Device-to-Device (D2D) communication is a way to treat the User Equipments (UEs) not as
terminals, but as a part of the network (helpers) for service provisioning. We propose a …

As a key enabler in the green transport system, the popularity of Electric Vehicles (EV) has
attracted attention from academia and industrial communities. However, the driving range of …

Vehicular Delay-Tolerant Networks (VDTNs) are networks of vehicles that communicate
wirelessly, where there are no permanent end-to-end connections. VDTNs have a highly …

In delay tolerant networks (DTNs), nodes have intermittent connectivity patterns due to
various factors such as mobility, sparse network topology, and unpredictable movement …

Vehicular delay tolerant networks (VDTNs) enable communications in sparse vehicular ad-
hoc networks and other challenged environments where traditional networking approaches …

Routing and secure communication are important concerns in Delay Tolerant Networks
(DTNs). Previously designed security schemes utilize traditional public key cryptosystems for …

This thesis introduces a framework for enhancing DTN (Delay-/Disruption-Tolerant
Networking) routing in dynamic LEO satellite constellations based on the prediction of …