… space-air-ground integrated network, a routing scheme based on reinforcement learning is
proposed. The principle of routing optimization … efficient space-air-ground integrated network …

… , ie, an optimal brute force algorithm and a particle swarmbased optimization algorithm, in
order to minimize the network … a greedy method to find out an optimal set of gateways from AN. …

… This study focused the optimization objectives on latency performance and network resource
utilization and achieved good results. These researchers’ studies also demonstrate the …

… machine learning and artificial intelligence, researchers have begun to use them to carry out
comprehensive … such as network performance analysis and optimization; the second is the …

… , and terrestrial networks) and computing resources in IoV, this article proposes a … networking
(SDN) and network function virtualization (NFV). In addition, we construct an optimization …

… IoT nodes, utilizing artificial intelligence techniques. Intelligent trajectory design methods …
In the following, we will present three scenarios to show the significance of optimizing LAUs’ …

… We optimize the neural network by leveraging Adam optimizer [35]. The computation …
Zhang, “Edge intelligence: Paving the last mile of artificial intelligence with edge computing,…

… the two-layer software defined network (SDN) … network states by acquiring network states
information in time interval. By simulating the network state in the next time interval, the optimal …

… were jointly optimized for spaceair-ground integrated vehicular networks (SAGVNs) to …
His research interests mainly include intelligent network, artificial intelligence and wireless …

… as rural areas and islands, Space-Air-Ground networks have become an ambitious … network.
In this paper, we propose a novel structure of Space-Air-Ground-Sea integrated networks (…