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Decentralized Estimation in Communication Networks with Delay.
MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR INFORMATION AND DECISION SYSTEMS
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Previous work on decentralized estimation has assumed unlimited capacity on the communication channels between the sensors and the estimators. In practice, this is not possible increased traffic rate leads to network congestion and decreased performance. This thesis develops optimum reporting schedules for sensors, routing schemes for messages and data fusion algorithms for intermediate nodes. Author
APPROVED FOR PUBLIC RELEASE