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Mission-Critical Application Driven Intelligent Maritime Networks [[electronic resource] /] / by Tingting Yang, Xuemin (Sherman) Shen



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Autore: Yang Tingting Visualizza persona
Titolo: Mission-Critical Application Driven Intelligent Maritime Networks [[electronic resource] /] / by Tingting Yang, Xuemin (Sherman) Shen Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (VIII, 78 p. 36 illus., 34 illus. in color.)
Disciplina: 621.384
Soggetto topico: Wireless communication systems
Mobile communication systems
Computer communication systems
Electrical engineering
Wireless and Mobile Communication
Computer Communication Networks
Communications Engineering, Networks
Persona (resp. second.): ShenX <1958-> (Xuemin)
Nota di contenuto: Chapter 1. Introduction -- Chapter 2. Background and Literature Survey -- Chapter 3. Transmission Scheduling Based on Deep Reinforcement Learning in Software-Defined Maritime Communication Networks -- Chapter 4. Multi-vessel Computation Offloading in Maritime Mobile Edge Computing Network -- Chapter 5. The Application of Software-Defined Maritime Communication Networks:Maritime Search and Rescue -- Chapter 6. Conclusions and Future Directions. .
Sommario/riassunto: This book shares valuable insights into high-efficiency data transmission scheduling and into a group intelligent search and rescue approach for artificial intelligence (AI)-powered maritime networks. Its goal is to highlight major research directions and topics that are critical for those who are interested in maritime communication networks, equipping them to carry out further research in this field. The authors begin with a historical overview and address the marine business, emerging technologies, and the shortcomings of current network architectures (coverage, connectivity, reliability, etc.). In turn, they introduce a heterogeneous space/air/sea/ground maritime communication network architecture and investigate the transmission scheduling problem in maritime communication networks, together with solutions based on deep reinforcement learning. To accommodate the computation demands of maritime communication services, the authors propose a multi-vessel offloading algorithm for maritime mobile edge computing networks. In closing, they discuss the applications of swarm intelligence in maritime search and rescue.
Titolo autorizzato: Mission-Critical Application Driven Intelligent Maritime Networks  Visualizza cluster
ISBN: 981-15-4412-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465460503316
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Serie: SpringerBriefs in Computer Science, . 2191-5768