Mission-Critical Application Driven Intelligent Maritime Networks / by Tingting Yang, Xuemin (Sherman) Shen.

Format:

Book

Author/Creator:

Yang, Tingting, author.

Shen, X. (Xuemin), 1958- author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

SpringerBriefs in computer science 2191-5768

SpringerBriefs in Computer Science, 2191-5768

Language:

English

Subjects (All):

Wireless communication systems.

Mobile communication systems.

Computer networks.

Electrical engineering.

Wireless and Mobile Communication.

Computer Communication Networks.

Communications Engineering, Networks.

Local Subjects:

Wireless and Mobile Communication.

Computer Communication Networks.

Communications Engineering, Networks.

Physical Description:

1 online resource (VIII, 78 pages) : 36 illustrations, 34 illustrations in color.

Edition:

First edition 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Singapore : Springer Singapore : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

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, et cetera). 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.

Contents:

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. .

Other Format:

Printed edition:

ISBN:

978-981-15-4412-5

9789811544125

Access Restriction:

Restricted for use by site license.