IEEE Transactions on Communications
Multi-channel assignment in wireless sensor networks: a game theoretic approach
INFOCOM'10 Proceedings of the 29th conference on Information communications
Coalition formation for bearings-only localization in sensor networks: a cooperative game approach
IEEE Transactions on Signal Processing
Decentralized activation in sensor networks - global games and adaptive filtering games
Digital Signal Processing
Welfare-maximizing correlated equilibria using Kantorovich polynomials with sparsity
Journal of Global Optimization
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We present decentralized adaptive filtering algorithms for sensor activation control in an unattended ground sensor network (UGSN) comprised of ZigBee-enabled nodes. Nodes monitor their environment in a low-power ldquosleeprdquo mode, until an intruder is detected, then must decide whether to enter a full-power monitoring and transmission mode if their estimated average performance for activation outweighs their energy cost. The tradeoff is formulated in terms of the energy required to transmit data using the ZigBee protocol, probability of successful transmission, and the expected marginal increase in global utility resulting from a report, all of which depend on the activity of nearby sensor nodes. Since activation control is decentralized, and utilities are codependent, the adaptive filtering/stochastic approximation algorithms that we propose for sensor activation are based on game theoretic principles. We show that if each sensor operates according to this algorithm, the entire network is capable of actively tracking the correlated equilibrium set of the underlying game, which varies with target motion, node failures, or intentional parameter adjustments. We analyze the convergence and tracking properties of the adaptive filtering algorithms using differential inclusions.