Reinforcement Learning for Maritime Communications (Record no. 3202)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03810nam a22004575i 4500 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230725s2023 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031321382 |
| -- | 978-3-031-32138-2 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IMU Kochi Library |
| Language of cataloging | eng |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004.6 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Xiao, Liang. |
| 245 10 - TITLE STATEMENT | |
| Title | Reinforcement Learning for Maritime Communications |
| Medium | [electronic resource] / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | IX, 146 p. 50 illus., 49 illus. in color. |
| Other physical details | online resource. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Wireless Networks, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction -- Intelligent Internet of Things Networking Architecture -- Intelligent IoT Network Awareness -- Intelligent Traffic Control -- Intelligent Resource Scheduling -- Mobile Edge Computing Enabled Intelligent IoT -- Blockchain Enabled Intelligent IoT -- Conclusions and Future Challenges. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book demonstrates that the reliable and secure communication performance of maritime communications can be significantly improved by using intelligent reflecting surface (IRS) aided communication, privacy-aware Internet of Things (IoT) communications, intelligent resource management and location privacy protection. In the IRS aided maritime communication system, the reflecting elements of IRS can be intelligently controlled to change the phase of signal, and finally enhance the received signal strength of maritime ships (or sensors) or jam maritime eavesdroppers illustrated in this book. The power and spectrum resource in maritime communications can be jointly optimized to guarantee the quality of service (i.e., security and reliability requirements), and reinforcement leaning is adopted to smartly choose the resource allocation strategy. Moreover, learning based privacy-aware offloading and location privacy protection are proposed to intelligently guarantee the privacy-preserving requirements of maritime ships or (sensors). Therefore, these communication schemes based on reinforcement learning algorithms can help maritime communication systems to improve the information security, especially in dynamic and complex maritime environments. This timely book also provides broad coverage of the maritime wireless communication issues, such as reliability, security, resource management, and privacy protection. Reinforcement learning based methods are applied to solve these issues. This book includes four rigorously refereed chapters from prominent international researchers working in this subject area. The material serves as a useful reference for researchers, graduate students. Practitioners seeking solutions to maritime wireless communication and security related issues will benefit from this book as well. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer networks . |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Wireless communication systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Mobile communication systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Communication Networks. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Wireless and Mobile Communication. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine Learning. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Yang, Helin. |
| Relator term | |
| Relator code | aut |
| -- | http://id.loc.gov/vocabulary/relators/aut |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhuang, Weihua. |
| Relator term | |
| Relator code | aut |
| -- | http://id.loc.gov/vocabulary/relators/aut |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Min, Minghui. |
| Relator term | |
| Relator code | aut |
| -- | http://id.loc.gov/vocabulary/relators/aut |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Wireless Networks, |
| 852 ## - LOCATION/CALL NUMBER | |
| Location | IMU Kochi Library |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-031-32138-2">https://doi.org/10.1007/978-3-031-32138-2</a> |
| 904 ## - LOCAL DATA ELEMENT D, LDD (RLIN) | |
| CATALOGER | Rudra Ranjan |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) | |
| VERIFIER | Rudra Ranjan |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | E-Book |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2023. |
| 338 ## - | |
| -- | online resource |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2366-1445 |
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