000			03894nam a22004215i 4500
999			_c387178 _d387178
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007			cr nn 008mamaa
008			220601s2006 sz | s |||| 0|eng d
020			_a9783031016721
024	7		_a10.1007/978-3-031-01672-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA269 _b2006 EB
100	1		_aMacKenzie, Allen Brantley, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686781 _d1977-
245	1	0	_aGame Theory for Wireless Engineers _cby Allen B. MacKenzie, Luiz A. DaSilva
250			_a1st edition 2006
264		1	_aCham _bSpringer International Publishing _c2006
300			_a1 recurso en línea (IX, 76 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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 foundational understanding of the current research on game theory applied to wireless communications and networking.
988			_aSynthesis Collection of Technology_2006
650		7	_2embne _aTeoría de juegos _9686845
650		7	_2embne _9152774 _aToma de decisiones (Estadística)
700	1		_aDaSilva, Luiz _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686782
776	0	8	_iPrinted edition: _z9783031005442
776	0	8	_iPrinted edition: _z9783031028007
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01672-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI