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.