Space exploration has been on the rise since the 1960s and Mars plays a significant role in
the history of space exploration. As the amount of data collected from science instruments …

Communication with deep-space elements poses significant challenges due to vast
distances, orbital motions, and harsh environmental conditions that restrict point-to-point or …

High throughput satellites (HTS), with their digital payload technology, are expected to play
a key role as enablers of the upcoming 6G networks. HTS are mainly designed to provide …

Reaching all regions of Earth, low Earth orbit (LEO) satellites can harvest delay-tolerant data
from remotely located users on Earth without ground infrastructure. This work aims to assess …

With the continuous growth of the scale and traffic bearing capacity of satellite networks, it
becomes increasingly difficult to ensure the traffic end-to-end latency performance in …

Federated learning is a distributed machine learning approach that achieves collaborative
training while protecting data privacy. However, in distributed scenarios, the operational …

As space information networks become more heterogeneous by integrating various space
platforms, layers and operators, new security challenges arise that need proper …

This study conducts an experimental evaluation of a decentralized cognitive routing
approach to improve the performance of Delay Tolerant Networks (DTNs) in challenging …

This study presents an approach to improve the performance of Delay Tolerant Networks
(DTNs) in space through decentralized cognitive routing. The approach aims to minimize …

Delay Tolerant networks (DTNs) belong to a class of wireless networks which are designed
specifically for environments where high latency, frequent disruptions and intermittent …