東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Efficient online incentive mechanism designs for wireless communications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Efficient online incentive mechanism designs for wireless communications/ by Gang Li, Jun Cai.
Author:	Li, Gang.
other author:	Cai, Jun.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xiii, 110 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Chapter 1 Introduction of Online Incentive Mechanism in Wireless Communications -- Chapter 2 Linear Online Incentive Mechanism Design Case Study of Crowdsensing with Random Task Arrivals -- Chapter 3 Nonlinear Online Incentive Mechanism Design: Case Study of Edge Computing with Energy Budget -- Chapter 4 Online Incentive Mechanism Design for Real-time Decision Making: Case Study of Collaborative Task Offloading in Mobile Edge Computing -- Chapter 5 Conclusions and Future Research Directions.
Contained By:	Springer Nature eBook
Subject:	Wireless communication systems. -
Online resource:	https://doi.org/10.1007/978-3-031-58453-4
ISBN:	9783031584534

Efficient online incentive mechanism designs for wireless communications
Li, Gang.

Efficient online incentive mechanism designs for wireless communications[electronic resource] /by Gang Li, Jun Cai. - Cham :Springer Nature Switzerland :2024. - xiii, 110 p. :ill. (chiefly col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5776. - SpringerBriefs in computer science..

Chapter 1 Introduction of Online Incentive Mechanism in Wireless Communications -- Chapter 2 Linear Online Incentive Mechanism Design Case Study of Crowdsensing with Random Task Arrivals -- Chapter 3 Nonlinear Online Incentive Mechanism Design: Case Study of Edge Computing with Energy Budget -- Chapter 4 Online Incentive Mechanism Design for Real-time Decision Making: Case Study of Collaborative Task Offloading in Mobile Edge Computing -- Chapter 5 Conclusions and Future Research Directions.

This book initially delves into its fundamentals to initiate the exploration of online incentive mechanisms in wireless communications. Three case studies are provided to elaborate details on designing online mechanism design in practical system. For crowdsensing with random task arrivals, this book introduces a linear online incentive mechanism model with insurance of the quality of information for each incoming task. In the context of edge computing systems, the authors model a nonlinear online incentive mechanism with the consideration of mobile users' energy budget constraints. It also explores online incentive mechanism for collaborative task offloading in mobile edge computing to achieve on-arrival instant responses. This book not only disseminates current knowledge but also sheds light on future research directions. The design of incentive mechanisms in wireless communication systems is of paramount importance as it encourages dormant terminals within networks to contribute their valuable resources. The consideration of randomness of network processes enhances the mechanism design under online settings and decision making on the fly. This book endeavours to bridge existing knowledge gaps by comprehensively presenting and developing fundamental insights into online incentive mechanisms and their design methods in the realm of wireless communications. It's one of the first books to provide a comprehensive understanding of the fundamental principles of online incentive mechanisms and their intricately designed methods in the dynamic world of wireless communications. Future research directions include an investigation in the evolving domain of online incentive mechanism designs within wireless communications. This book strikes a balance between theoretical knowledge and practical application, making it a valuable resource for both researchers and practitioners in the field of wireless communications and network economics. Advanced-level students majoring in computer science and/or electrical engineering will want to purchase this book as a study guide.

ISBN: 9783031584534

Standard No.: 10.1007/978-3-031-58453-4doiSubjects--Topical Terms:

567106
Wireless communication systems.

LC Class. No.: TK5103.2

Dewey Class. No.: 621.384

Efficient online incentive mechanism designs for wireless communications
LDR:03651nmm a2200337 a 4500 001 2371248
003 DE-He213
005 20240528125438.0
006 m d
007 cr nn 008maaau
008 241127s2024 sz s 0 eng d
020 $a 9783031584534 $q (electronic bk.)
020 $a 9783031584527 $q (paper)
024 7 $a 10.1007/978-3-031-58453-4 $2 doi
035 $a 978-3-031-58453-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5103.2
072 7 $a UKN $2 bicssc
072 7 $a COM043000 $2 bisacsh
072 7 $a UKN $2 thema
082 0 4 $a 621.384 $2 23
090 $a TK5103.2 $b .L693 2024
100 1 $a Li, Gang. $3 1278067
245 1 0 $a Efficient online incentive mechanism designs for wireless communications $h [electronic resource] / $c by Gang Li, Jun Cai.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xiii, 110 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5776
505 0 $a Chapter 1 Introduction of Online Incentive Mechanism in Wireless Communications -- Chapter 2 Linear Online Incentive Mechanism Design Case Study of Crowdsensing with Random Task Arrivals -- Chapter 3 Nonlinear Online Incentive Mechanism Design: Case Study of Edge Computing with Energy Budget -- Chapter 4 Online Incentive Mechanism Design for Real-time Decision Making: Case Study of Collaborative Task Offloading in Mobile Edge Computing -- Chapter 5 Conclusions and Future Research Directions.
520 $a This book initially delves into its fundamentals to initiate the exploration of online incentive mechanisms in wireless communications. Three case studies are provided to elaborate details on designing online mechanism design in practical system. For crowdsensing with random task arrivals, this book introduces a linear online incentive mechanism model with insurance of the quality of information for each incoming task. In the context of edge computing systems, the authors model a nonlinear online incentive mechanism with the consideration of mobile users' energy budget constraints. It also explores online incentive mechanism for collaborative task offloading in mobile edge computing to achieve on-arrival instant responses. This book not only disseminates current knowledge but also sheds light on future research directions. The design of incentive mechanisms in wireless communication systems is of paramount importance as it encourages dormant terminals within networks to contribute their valuable resources. The consideration of randomness of network processes enhances the mechanism design under online settings and decision making on the fly. This book endeavours to bridge existing knowledge gaps by comprehensively presenting and developing fundamental insights into online incentive mechanisms and their design methods in the realm of wireless communications. It's one of the first books to provide a comprehensive understanding of the fundamental principles of online incentive mechanisms and their intricately designed methods in the dynamic world of wireless communications. Future research directions include an investigation in the evolving domain of online incentive mechanism designs within wireless communications. This book strikes a balance between theoretical knowledge and practical application, making it a valuable resource for both researchers and practitioners in the field of wireless communications and network economics. Advanced-level students majoring in computer science and/or electrical engineering will want to purchase this book as a study guide.
650 0 $a Wireless communication systems. $3 567106
650 1 4 $a Computer Communication Networks. $3 775497
650 2 4 $a Wireless and Mobile Communication. $3 3338159
700 1 $a Cai, Jun. $3 676979
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in computer science. $3 1567571
856 4 0 $u https://doi.org/10.1007/978-3-031-58453-4
950 $a Computer Science (SpringerNature-11645)