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Sketch of mid-long term (2030, 2050) development strategy study of hydropower in China

Yan Zhiyong, Qian Gangliang

Strategic Study of CAE 2011, Volume 13, Issue 6, Pages 108-112

Abstract:

Based on the hydropower potential and distribution features,analyze the status and role of hydropower in China, review the history of hydropower development and current situation, contrast and analyze the differences of hydropower development in China and some other overseas countries, present strategy route and target and key point of hydropower development in China and present measures and suggestions to hydropower development in future.

Keywords： hydropower resources hydropower development target key point support measures

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A multipath routing algorithm for satellite networksbased on service demand and traffic awareness Research Article

Ziyang XING, Hui QI, Xiaoqiang DI, Jinyao LIU, Rui XU, Jing CHEN, Ligang CONG,dixiaoqiang@cust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6, Pages 844-858 doi: 10.1631/FITEE.2200507

Abstract: With the reduction in manufacturing and launch costs of low Earth orbit satellites and the advantages of large coverage and high data transmission rates, satellites have become an important part of data transmission in air-ground networks. However, due to the factors such as geographical location and people’s living habits, the differences in user’ demand for multimedia data will result in unbalanced network traffic, which may lead to network congestion and affect data transmission. In addition, in traditional transmission, the convergence of network information acquisition is slow and global network information cannot be collected in a fine-grained manner, which is not conducive to calculating optimal routes. The service quality requirements cannot be satisfied when multiple service requests are made. Based on the above, in this paper artificial intelligence technology is applied to the , and a software-defined network is used to obtain the global network information, perceive network traffic, develop comprehensive decisions online through , and update the optimal routing strategy in real time. Simulation results show that the proposed algorithm has good convergence performance and strong generalizability. Compared with traditional routing, the throughput is 8% higher, and the proposed method has load balancing characteristics.

Keywords： Software-defined network (SDN) Quick user datagram protocol Internet connection (QUIC) Reinforcement learning Sketch