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Found 9 papers, 0 papers with code
An open source Multi-Agent Deep Reinforcement Learning Routing Simulator for satellite networks
This paper introduces an open source simulator for packet routing in Low Earth Orbit Satellite Constellations (LSatCs) considering the dynamic system uncertainties.
Continual Deep Reinforcement Learning for Decentralized Satellite Routing
First, an offline learning phase relies on decentralized decisions and a global Deep Neural Network (DNN) trained with global experiences.
Generative Network Layer for Communication Systems with Artificial Intelligence
The traditional role of the network layer is the transfer of packet replicas from source to destination through intermediate network nodes.
On-board Change Detection for Resource-efficient Earth Observation with LEO Satellites
The amount of data generated by Earth observation satellites can be enormous, which poses a great challenge to the satellite-to-ground connections with limited rate.
Federated Learning in Satellite Constellations
Federated learning (FL) has recently emerged as a distributed machine learning paradigm for systems with limited and intermittent connectivity.
Edge Computing and Communication for Energy-Efficient Earth Surveillance with LEO Satellites
In this paper, we propose an algorithm that allows the satellites to select between computing the tasks at the edge or at a cloud server and to allocate an adequate power for communication.
Inter-Plane Inter-Satellite Connectivity in Dense LEO Constellations
With numerous ongoing deployments owned by private companies and startups, dense satellite constellations deployed in low Earth orbit (LEO) will play a major role in the near future of wireless communications.
Networking and Internet Architecture
Trusted Wireless Monitoring based on Distributed Ledgers over NB-IoT Connectivity
The data collected from Internet of Things (IoT) devices on various emissions or pollution, can have a significant economic value for the stakeholders.
Cryptography and Security Distributed, Parallel, and Cluster Computing
Witness-based Approach for Scaling Distributed Ledgers to Massive IoT Scenarios
In our scheme, we classify transactions into two types: 1) global transactions, which must be processed by global blockchain nodes and 2) local transactions, which can be processed locally by entities called witnesses.
Networking and Internet Architecture Systems and Control Systems and Control
