Incentive Stackelberg Strategies for Flow Configuration of Parallel Networks
نویسندگان
چکیده
This work consider the problem of flow control using incentive strategy in Stackelberg game theory. The network model employed here is that users route their flows from a common source to a common destination node, each of them trying to optimize its individual performance objective. First, the existing Stackelberg routing strategy is briefly introduced. And then, the linear Stackelberg incentive strategies are presented for both single-follower and multi-follower systems, by which the leader (manager) force the followers (the noncooperative users) adopt the team optimal flow configuration as their reply strategies. It is shown that the incentive strategy improves the existing Stackelberg routing strategy. A numerical example is given to illustrate the results of the strategy.
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