東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Mission-criticial application drivin...

Yang, Tingting.

FindBook

Google Book

Amazon

博客來

Mission-criticial application driving intelligent maritime networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mission-criticial application driving intelligent maritime networks/ by Tingting Yang, Xuemin (Sherman) Shen.
作者:	Yang, Tingting.
其他作者:	Shen, Xuemin (Sherman).
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	viii, 78 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Wireless communication systems. -
電子資源:	https://doi.org/10.1007/978-981-15-4412-5
ISBN:	9789811544125

Mission-criticial application driving intelligent maritime networks
Yang, Tingting.

Mission-criticial application driving intelligent maritime networks[electronic resource] /by Tingting Yang, Xuemin (Sherman) Shen. - Singapore :Springer Singapore :2020. - viii, 78 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

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.

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.

ISBN: 9789811544125

Standard No.: 10.1007/978-981-15-4412-5doiSubjects--Topical Terms:

567106
Wireless communication systems.

LC Class. No.: TK5103.2 / .Y35 2020

Dewey Class. No.: 621.382

Mission-criticial application driving intelligent maritime networks
LDR:02647nmm a2200337 a 4500 001 2217596
003 DE-He213
005 20200414072142.0
006 m d
007 cr nn 008maaau
008 201120s2020 si s 0 eng d
020 $a 9789811544125 $q (electronic bk.)
020 $a 9789811544118 $q (paper)
024 7 $a 10.1007/978-981-15-4412-5 $2 doi
035 $a 978-981-15-4412-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5103.2 $b .Y35 2020
072 7 $a TJKW $2 bicssc
072 7 $a TEC061000 $2 bisacsh
072 7 $a TJKW $2 thema
082 0 4 $a 621.382 $2 23
090 $a TK5103.2 $b .Y22 2020
100 1 $a Yang, Tingting. $3 2071638
245 1 0 $a Mission-criticial application driving intelligent maritime networks $h [electronic resource] / $c by Tingting Yang, Xuemin (Sherman) Shen.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a viii, 78 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5768
505 0 $a 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.
520 $a 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.
650 0 $a Wireless communication systems. $3 567106
650 0 $a Shipping $x Communication systems. $3 3450923
650 1 4 $a Wireless and Mobile Communication. $3 3338159
650 2 4 $a Computer Communication Networks. $3 775497
650 2 4 $a Communications Engineering, Networks. $3 891094
700 1 $a Shen, Xuemin (Sherman). $3 2058627
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in computer science. $3 1567571
856 4 0 $u https://doi.org/10.1007/978-981-15-4412-5
950 $a Computer Science (Springer-11645)