國立虎尾科技大學 |

Game Theory for Wireless Engineers

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Game Theory for Wireless Engineers/ by Allen B. MacKenzie, Luiz A. DaSilva.
作者:	MacKenzie, Allen B.
其他作者:	DaSilva, Luiz A.
面頁冊數:	IX, 76 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Communications Engineering, Networks. -
電子資源:	https://doi.org/10.1007/978-3-031-01672-1
ISBN:	9783031016721

Game Theory for Wireless Engineers
MacKenzie, Allen B.

Game Theory for Wireless Engineers[electronic resource] /by Allen B. MacKenzie, Luiz A. DaSilva. - 1st ed. 2006. - IX, 76 p.online resource. - Synthesis Lectures on Communications,1932-1708. - Synthesis Lectures on Communications,.

Introduction to Game Theory -- Decision Making and Utility Theory -- Strategic Form Games -- Repeated and Markov Games -- Convergence to Equilibrium: Potential Games -- Future Directions.

The application of mathematical analysis to wireless networks has met with limited success, due to the complexity of mobility and traffic models, coupled with the dynamic topology and the unpredictability of link quality that characterize such networks. The ability to model individual, independent decision makers whose actions potentially affect all other decision makers makes game theory particularly attractive to analyze the performance of ad hoc networks. Game theory is a field of applied mathematics that describes and analyzes interactive decision situations. It consists of a set of analytical tools that predict the outcome of complex interactions among rational entities, where rationality demands a strict adherence to a strategy based on perceived or measured results. In the early to mid-1990's, game theory was applied to networking problems including flow control, congestion control, routing and pricing of Internet services. More recently, there has been growing interest in adopting game-theoretic methods to model today's leading communications and networking issues, including power control and resource sharing in wireless and peer-to-peer networks. This work presents fundamental results in game theory and their application to wireless communications and networking. We discuss normal-form, repeated, and Markov games with examples selected from the literature. We also describe ways in which learning can be modeled in game theory, with direct applications to the emerging field of cognitive radio. Finally, we discuss challenges and limitations in the application of game theory to the analysis of wireless systems. We do not assume familiarity with game theory. We introduce major game theoretic models and discuss applications of game theory including medium access, routing, energy-efficient protocols, and others. We seek to provide the reader with a foundational understanding of the current research on game theory applied to wireless communications and networking.

ISBN: 9783031016721

Standard No.: 10.1007/978-3-031-01672-1doiSubjects--Topical Terms:

669809
Communications Engineering, Networks.

LC Class. No.: T1-995

Dewey Class. No.: 620

Game Theory for Wireless Engineers
LDR:03444nam a22003735i 4500 001 1097411
003 DE-He213
005 20220601133443.0
007 cr nn 008mamaa
008 230315s2006 sz | s |||| 0|eng d
020 $a 9783031016721 $9 978-3-031-01672-1
024 7 $a 10.1007/978-3-031-01672-1 $2 doi
035 $a 978-3-031-01672-1
050 4 $a T1-995
072 7 $a TBC $2 bicssc
072 7 $a TEC000000 $2 bisacsh
072 7 $a TBC $2 thema
082 0 4 $a 620 $2 23
100 1 $a MacKenzie, Allen B. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1407261
245 1 0 $a Game Theory for Wireless Engineers $h [electronic resource] / $c by Allen B. MacKenzie, Luiz A. DaSilva.
250 $a 1st ed. 2006.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2006.
300 $a IX, 76 p. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Synthesis Lectures on Communications, $x 1932-1708
505 0 $a Introduction to Game Theory -- Decision Making and Utility Theory -- Strategic Form Games -- Repeated and Markov Games -- Convergence to Equilibrium: Potential Games -- Future Directions.
520 $a The application of mathematical analysis to wireless networks has met with limited success, due to the complexity of mobility and traffic models, coupled with the dynamic topology and the unpredictability of link quality that characterize such networks. The ability to model individual, independent decision makers whose actions potentially affect all other decision makers makes game theory particularly attractive to analyze the performance of ad hoc networks. Game theory is a field of applied mathematics that describes and analyzes interactive decision situations. It consists of a set of analytical tools that predict the outcome of complex interactions among rational entities, where rationality demands a strict adherence to a strategy based on perceived or measured results. In the early to mid-1990's, game theory was applied to networking problems including flow control, congestion control, routing and pricing of Internet services. More recently, there has been growing interest in adopting game-theoretic methods to model today's leading communications and networking issues, including power control and resource sharing in wireless and peer-to-peer networks. This work presents fundamental results in game theory and their application to wireless communications and networking. We discuss normal-form, repeated, and Markov games with examples selected from the literature. We also describe ways in which learning can be modeled in game theory, with direct applications to the emerging field of cognitive radio. Finally, we discuss challenges and limitations in the application of game theory to the analysis of wireless systems. We do not assume familiarity with game theory. We introduce major game theoretic models and discuss applications of game theory including medium access, routing, energy-efficient protocols, and others. We seek to provide the reader with a foundational understanding of the current research on game theory applied to wireless communications and networking.
650 2 4 $a Communications Engineering, Networks. $3 669809
650 2 4 $a Electrical and Electronic Engineering. $3 1388937
650 1 4 $a Technology and Engineering. $3 1366744
650 0 $a Telecommunication. $3 568341
650 0 $a Electrical engineering. $3 596380
650 0 $a Engineering. $3 561152
700 1 $a DaSilva, Luiz A. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1407262
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031005442
776 0 8 $i Printed edition: $z 9783031028007
830 0 $a Synthesis Lectures on Communications, $x 1932-1708 $3 1407263
856 4 0 $u https://doi.org/10.1007/978-3-031-01672-1
912 $a ZDB-2-SXSC
950 $a Synthesis Collection of Technology (R0) (SpringerNature-85007)