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Yihu Zhou, Haiming Chen and Zhibin Dou
In satellite networks, existing congestion resolution methods do not consider the predictability and stability of paths, leading to frequent path switches and high maintenance costs. In this regard, we propose a novel congestion resolution approach, name...
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Guohong Zhao, Zeyu Kang, Yixin Huang and Shufan Wu
In this paper, for an Low-Earth Orbit (LEO) satellite network with inter-satellite links, a routing optimization method is developed in the case of stochastic link failure. First, a discrete-time strategy is used for the satellite network to acquire seve...
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Pablo Iglesias-Sanuy, José Carlos López-Ardao, Miguel Rodríguez-Pérez, Sergio Herrería-Alonso, Andrés Suárez-González and Raúl F. Rodríguez-Rubio
Low Earth orbit (LEO) satellite constellations are increasingly gaining attention as future global Internet providers. At the same time, named data networking (NDN) is a new data-centric architecture that has been recently proposed to replace the classic...
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Changhao Wu, Siyang He, Zengshan Yin and Chongbin Guo
Large-scale low Earth orbit (LEO) remote satellite constellations have become a brand new, massive source of space data. Federated learning (FL) is considered a promising distributed machine learning technology that can communicate optimally using these ...
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Wenxin Qiao, Hao Lu, Yu Lu, Lijie Meng and Yicen Liu
Satellite?terrestrial integrated networks (STINs) are regarded as a promising solution to meeting the demands of global high-speed seamless network access in the future. Software-defined networking and network function virtualization (SDN/NFV) are two co...
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Massimiliano Sist, Giovanni Schiavon and Fabio Del Frate
A new data fusion technique based on Artificial Neural Networks (ANN) for the design of a rainfall retrieval algorithm is presented. The use of both VIS/IR (VISible and InfraRed) data from GEO (Geostationary Earth Orbit) satellite and of passive microwav...
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