Title: Resilient Integrated Space Information Network: A Space-Based Network for Communication Transmission, Spatiotemporal Measurement and Cross-Domain Interconnection
Publisher: Elsevier
Publication Date: 2026
Language: English
ISBN 10: 044345132X
ISBN 13: 9780443451324
Binding: Soft cover
Condition: New

About this title

Synopsis

Resilient Integrated Space Information Network: A Space-Based Network for Communication Transmission, Spatiotemporal Measurement and Cross-Domain Interconnection provides readers with expert proposals for top-level architecture design ideas and key technologies for future large-scale, complex space network systems. The book clarifies technical issues and challenges encountered in the development and deployment of large-scale spatial network systems. Presents readers with a detailed analysis of the current status and trends in the field. Basic theory and advanced technology of the deployment and application of communication satellite constellations are described in detail, providing readers with an important reference for theoretical research and engineering practice. The book provides readers technical support for the future construction and implementation of global satellite information networks, greatly enhancing the technological strength of innovation and beyond development in the space field.

Resilient Integrated Space Information Network: A Space-based Network for Communication Transmission, Spatiotemporal Measurement and Cross-Domain provides comprehensive coverage of space-based network architecture, addressing the connectivity, collaboration and interoperability of satellites, which sets it apart from competitors focusing on individual satellite technologies
The basic theory and advanced technology of the deployment and application of communication satellite constellations are presented in detail, providing an important reference for theoretical research and engineering practice
Combines research achievements in fields such as artificial intelligence, big data and the cloud processing we aim to achieve the ability to optimize and restructure intelligent space-based networks, intelligent node equipment and intelligent task planning
Proposes the top-level architecture design ideas and key technologies for future large-scale complex space network system

About the Authors

Dr Jianjun Zhang is a Professor at the China Academy of Space Technology. He is member of the Edge Computing Expert of the China Electronics Society, Chairman of the "Space (Aerospace) Information Technology" Professional Committee of China Electronics Society, and member of the Satellite Application Expert Group of China Aerospace Society. He is mainly engaged in research on satellite navigation system design, advanced spatial information system technology based on cognitive mechanism

Jing Li, Ph.D., is an Associate Professor at the School of Automation, Beijing Institute of Technology. Expert member of the “Space Information Technology� Youth Committee of China Electronics Society, the main research direction is robot environmental awareness, image detection and target tracking, multi-sensor information fusion. She has presided over more than 10 projects including the National Natural Science Youth Fund, the Postdoctoral Special Fund, the Key Laboratory of the Ministry of Education, and the Science and Technology Cooperation. She has published 25 academic papers (including 10 SCI papers and 15 EI papers) and the book "Image Detection and Object Tracking Technology", granted 7 national invention patents as the first author and the National Science and Technology Progress Award 2 (ranked 8th).

Dr Jianbo Du received her PhD in communication and information systems from Xidian University, Xi'an, Shaanxi, China, in 2018. She was a visiting scholar at Carleton University, Canada, in 2019, and is now an Associate Professor with the School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications. She has published more than 70 research papers in leading journals. Research interests include: mobile edge computing, blockchain, space-air-ground integrated networks, deep reinforcement learning, resource allocation, etc., and their applications in wireless communications

Linshan Xue is a highly experienced researcher that has worked on all areas of satellite technologies

Professor Suzhi Cao is based at the Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences. She has published over 40 papers and been granted nearly 20 granted patents. Her research interests are mainly in satellite edge computing, spatial information network technology, routing technology and time-sensitive network

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