In computer networking, game theoretic models have been developed to better understand Internet pricing, flow and congestion control, peer-to-peer systems, and routing, among other issues. More recently, we have seen the application of game theory to wireless systems. Wireless networks are notoriou…
In computer networking, game theoretic models have been developed to better understand Internet pricing, flow and congestion control, peer-to-peer systems, and routing, among other issues. More recently, we have seen the application of game theory to wireless systems. Wireless networks are notoriously difficult to analyze using traditional mathematical models, due to the complexity of mobility and traffic models, coupled with the dynamic topology and the unpredictability of link quality. Game theory has recently shown promise in understanding numerous problems in wireless networks (power control, topology formation, trust management, etc.), as it can be used to model interactions between independent decision makers. This is of particular importance in environments such as mobile ad hoc networks, due to the absence of a centralized entity that has a full picture of the network conditions and can make decisions on behalf of individual nodes.
