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Distributed estimation in multi-agent networks

Author(s): Sankar, Lalitha; Poor, H Vincent

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Abstract: A problem of distributed state estimation at multiple agents that are physically connected and have competitive interests is mapped to a distributed source coding problem with additional privacy constraints. The agents interact to estimate their own states to a desired fidelity from their (sensor) measurements which are functions of both the local state and the states at the other agents. For a Gaussian state and measurement model, it is shown that the sum-rate achieved by a distributed protocol in which the agents broadcast to one another is a lower bound on that of a centralized protocol in which the agents broadcast as if to a virtual CEO converging only in the limit of a large number of agents. The sufficiency of encoding using local measurements is also proved for both protocols.
Publication Date: 9-Jul-2012
Citation: Sankar, Lalitha, Poor, H Vincent. (2012). Distributed estimation in multi-agent networks. 2012 IEEE International Symposium on Information Theory Proceedings, 10.1109/isit.2012.6284202
DOI: doi:10.1109/isit.2012.6284202
Type of Material: Journal Article
Journal/Proceeding Title: 2012 IEEE International Symposium on Information Theory Proceedings
Version: Author's manuscript

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