000 04108nam a22005175i 4500
001 978-3-031-01672-1
003 DE-He213
005 20240730164534.0
007 cr nn 008mamaa
008 220601s2006 sz | s |||| 0|eng d
020 _a9783031016721
_9978-3-031-01672-1
024 7 _a10.1007/978-3-031-01672-1
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aMacKenzie, Allen B.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985041
245 1 0 _aGame Theory for Wireless Engineers
_h[electronic resource] /
_cby Allen B. MacKenzie, Luiz A. DaSilva.
250 _a1st ed. 2006.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2006.
300 _aIX, 76 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Communications,
_x1932-1708
505 0 _aIntroduction to Game Theory -- Decision Making and Utility Theory -- Strategic Form Games -- Repeated and Markov Games -- Convergence to Equilibrium: Potential Games -- Future Directions.
520 _aThe 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 foundationalunderstanding of the current research on game theory applied to wireless communications and networking.
650 0 _aEngineering.
_99405
650 0 _aElectrical engineering.
_985045
650 0 _aTelecommunication.
_910437
650 1 4 _aTechnology and Engineering.
_985046
650 2 4 _aElectrical and Electronic Engineering.
_985048
650 2 4 _aCommunications Engineering, Networks.
_931570
700 1 _aDaSilva, Luiz A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985050
710 2 _aSpringerLink (Online service)
_985052
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031005442
776 0 8 _iPrinted edition:
_z9783031028007
830 0 _aSynthesis Lectures on Communications,
_x1932-1708
_985053
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01672-1
912 _aZDB-2-SXSC
942 _cEBK
999 _c85763
_d85763