Mission-Critical Application Driven Intelligent Maritime Networks
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Beschreibung
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 offloadingalgorithm for maritime mobile edge computing networks. In closing, they discuss the applications of swarm intelligence in maritime search and rescue.
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 offloadingalgorithm for maritime mobile edge computing networks. In closing, they discuss the applications of swarm intelligence in maritime search and rescue.
Covers a wide range of maritime activities and applications and includes case studies from academia and industry Introduces readers to the latest advances in the analysis and structure of maritime heterogeneous networks, especially schemes that enhance data transmission scheduling by using emerging techniques such as deep reinforcement learning Written for beginners/non-specialists, who will be able to easily follow the topics and challenges discussed Helps to broaden readers’ understanding of intelligent maritime networks, while also offering discussions, analyses and inspirations for specialists in related areas
Autor*in
Tingting Yang
Themen in »Mission-Critical Application Driven Intelligent Maritime Networks«
Intelligent maritime communications transmission scheduling software defined network maritime search and rescue mobile edge computing computation offloading swarm intelligence intelligent maritime networks maritime communication networks mission-critical application driven