Actuator networks: distributed evaluation of causal effect

TitleActuator networks: distributed evaluation of causal effect
Publication TypeConference Proceedings
Year of Publication2004
AuthorsCoates, M. J., and G. Ing
Conference NameAsilomar Conf. Signals, Systems, and Computers
Date Published11/2004
Conference LocationPacific Grove, CA
Abstract

We study sensor-actuator networks, extensions of sensor networks that consist of nodes that both monitor and interact with the environment. In particular, we focus on the evaluation of average causal effect within such networks. We describe a distributed algorithm that enables individual actuator nodes to determine the probable consequences of local action on the global environment and hence decide if such action is conducive to achieving the aims of the network. Our approach represents the relationship between actuation and sensor measurements using a causal graph, and applies a distributed expectation-maximization algorithm to estimate the average causal effect of actuation. We evaluate the effectiveness of our approach through simulations that examine the benefits of including side-information regarding possible event outcomes.

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