A cooperative game-theoretic measurement allocation algorithm for localization in unattended ground sensor networks

This paper proposes a cooperative game-theoretic approach for efficient measurement allocation in unattended ground sensor networks when they are engaged in localizing a target. The game-theoretic approach evolves around the idea that localization is achieved as a result of collaboration among the nodes. Hence this process can be modeled as a cooperative game and the solution concept of the Shapley value can be exploited to determine the value of each node for localization. Furthermore, it is proved that by iteratively allocating measurements according to the Shapley value, stochastic observability-a measure of the predicted level of accuracy in localization-desirably improves.