Książka Resilient Integrated Space Information Network Jing Li

Resilient Integrated Space Information Network

Język: Angielski
Oprawa: Miękka
Wydawca: Elsevier Science
Dostępność: Oczekiwana premiera
Wydanie 26. 06. 2026
591.37
Resilient Integrated Space Information Network: A Space-based Network for Communication Transmission...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2026
strony
300
EAN
9780443451324
ISBN
044345132X
Enbook ID
48930869
Waga
450

Pełny opis

Resilient Integrated Space Information Network: A Space-based Network for Communication Transmission, Spatiotemporal Measurement and Cross-Domain 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

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