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21 September 2007 Flow-rate control for managing communications in tracking and surveillance networks
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Abstract
This paper describes a primal-dual distributed algorithm for managing communications in a bandwidth-limited sensor network for tracking and surveillance. The algorithm possesses some scale-invariance properties and adaptive gains that make it more practical for applications such as tracking where the conditions change over time. A simulation study comparing this algorithm with a priority-queue-based approach in a network tracking scenario shows significant improvement in the resulting track quality when using flow control to manage communications.
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Scott A. Miller and Edwin K. P. Chong "Flow-rate control for managing communications in tracking and surveillance networks", Proc. SPIE 6699, Signal and Data Processing of Small Targets 2007, 66990R (21 September 2007); https://doi.org/10.1117/12.735605
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