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Book Description
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.
Product Details
- Paperback: 100 pages
- Publisher: Morgan & Claypool Publishers; 1 edition (March 22, 2006)
- Language: English
- ISBN-10: 1598290169
- ISBN-13: 978-1598290165
- Product Dimensions: 9 x 7.3 x 0.5 inches
- Shipping Weight: 7 ounces
Download link: http://adf.ly/3qU1G
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