Distributed welfare games with applications to sensor coverage

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Distributed welfare games with applications to sensor coverage
We consider a variation of the resource allocation problem. In the traditional problem, there is a global planner who would like to assign a set of players to a set of resources so as to maximize social welfare. We consider the situation where the global planner does not have the authority to assign players to resources; rather, players are self-interested. The question that emerges is how can the global planner entice the players to settle on a desirable allocation with respect to the social welfare? To study this question, we focus on a class of games that we refer to as distributed welfare games. Within this context, we investigate how the global planner should distribute the social welfare to the players? We measure the efficacy of a distribution rule in two ways: (i) Does a pure Nash equilibrium exist? (ii) How does the social welfare of a pure Nash equilibrium compare to the social welfare of the optimal allocation? This comparison is referred to as the price of anarchy. To ans...
Jason R. Marden, Adam Wierman
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where CDC
Authors Jason R. Marden, Adam Wierman
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