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This paper demonstrates a decentralised method for optimisation using game-theoretic multi-agent techniques, applied to a sensor network management problem. Our first major contribution is to show how the marginal contribution utility design is used to construct a unknown-reward potential game formulation of the problem. This formulation exploits the sparse structure of sensor network problems, and allows us to apply a bound to the price of anarchy of the Nash equilibria of the induced game.doi:10.1093/comjnl/bxt082 fatcat:wukqxabza5brpjaupiuaz6gzti