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Incremental Adaptive Strategies Over Distributed Networks

机译:分布式网络上的增量自适应策略

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An adaptive distributed strategy is developed based on incremental techniques. The proposed scheme addresses the problem of linear estimation in a cooperative fashion, in which nodes equipped with local computing abilities derive local estimates and share them with their predefined neighbors. The resulting algorithm is distributed, cooperative, and able to respond in real time to changes in the environment. Each node is allowed to communicate with its immediate neighbor in order to exploit the spatial dimension while limiting the communications burden at the same time. A spatial–temporal energy conservation argument is used to evaluate the steady-state performance of the individual nodes across the entire network. Computer simulations illustrate the results.
机译:基于增量技术开发了一种自适应分布式策略。所提出的方案以协作的方式解决了线性估计的问题,在该线性估计中,配备有本地计算能力的节点导出本地估计并将其与它们的预定邻居共享。生成的算法是分布式的,协作的,并且能够实时响应环境的变化。允许每个节点与其直接邻居进行通信,以便在限制通信负担的同时利用空间维度。时空能量节约论点用于评估整个网络中各个节点的稳态性能。计算机仿真说明了结果。

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