10-10-2017, 12:27 PM
Broadcast is an important application in wireless networks, eg. for video transmission, file distribution or event notification. The wireless nodes are powered by battery, their useful life depends on the energy consumption. Therefore, energy efficiency is an important metric when designing broadcast protocols on wireless and wireless networks.
Game theory has been used in the analysis of resource management in telecommunication networks for at least 20 years. As game theory has traditionally been applied to economic problems, it is not surprising that one of its first applications in telecommunications was in the study of pricing. In the early 1990s, researchers used game theory to propose new pricing strategies for Internet services. In the same decade, game theory models were developed for non-economic problems in networks, such as flow, admission and congestion control. By the late 1990s and early 2000s, game theory was being applied to wireless networks. As interest in decentralized wireless networks grew, so did the use of game theory models to help us understand and predict the performance of complex wireless systems that can not be completely modeled using traditional optimization tools. As radios are capable of more sophisticated adaptations, the assumptions of game theory models become a better match for future wireless networks. Game theory is, after all, multi-agent decision theory, modeling rational agents, maximizing utility whose actions affect the other's profits. Game theory has also captured the popular imagination, with the help of John Nash's biography, Sylvia Nasar's A Beautiful Mind (not to mention the Hollywood film adaptation of the book). Today, even researchers who are not directly involved with game theory are familiar with their basic concepts, such as Nash equilibrium, and some toy examples, such as the prisoners' dilemma. But game theory extends far beyond these, with numerous Nash equilibrium refinements and different types of cooperative and non-cooperative games, each with its own set of assumptions and results about the existence of equilibrium and the convergence of algorithms distributed to such equilibrium.
Game theory has been used in the analysis of resource management in telecommunication networks for at least 20 years. As game theory has traditionally been applied to economic problems, it is not surprising that one of its first applications in telecommunications was in the study of pricing. In the early 1990s, researchers used game theory to propose new pricing strategies for Internet services. In the same decade, game theory models were developed for non-economic problems in networks, such as flow, admission and congestion control. By the late 1990s and early 2000s, game theory was being applied to wireless networks. As interest in decentralized wireless networks grew, so did the use of game theory models to help us understand and predict the performance of complex wireless systems that can not be completely modeled using traditional optimization tools. As radios are capable of more sophisticated adaptations, the assumptions of game theory models become a better match for future wireless networks. Game theory is, after all, multi-agent decision theory, modeling rational agents, maximizing utility whose actions affect the other's profits. Game theory has also captured the popular imagination, with the help of John Nash's biography, Sylvia Nasar's A Beautiful Mind (not to mention the Hollywood film adaptation of the book). Today, even researchers who are not directly involved with game theory are familiar with their basic concepts, such as Nash equilibrium, and some toy examples, such as the prisoners' dilemma. But game theory extends far beyond these, with numerous Nash equilibrium refinements and different types of cooperative and non-cooperative games, each with its own set of assumptions and results about the existence of equilibrium and the convergence of algorithms distributed to such equilibrium.