在长距离传感器网络的状态熔断器上

Katharine Brigham, B. Kumar, N. Rao, Qiang Liu, Xin Wang
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引用次数: 2

摘要

我们考虑一个传感器网络,其中状态估计从传感器发送到融合中心以生成全局状态估计。底层融合算法影响分配时间τ内计算的全局状态估计的性能度量QCC(τ)(下标CC表示通信和计算质量的影响)。我们提出了QCC(τ)的概率性能界,它是状态估计、通信参数和融合算法分布的函数。我们提供了简化场景的模拟来说明不同的融合器的定性效果,并提供了系统级模拟来补充分析结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On state fusers over long-haul sensor networks
We consider a network of sensors wherein the state estimates are sent from sensors to a fusion center to generate a global state estimate. The underlying fusion algorithm affects the performance measure QCC(τ) (with subscripts CC indicating the effects of the communications and computing quality) of the global state estimate computed within the allocated time τ. We present a probabilistic performance bound on QCC(τ) as a function of the distributions of state estimates, communications parameters as well as the fusion algorithm. We present simulations of simplified scenarios to illustrate the qualitative effects of different fusers, and system-level simulations to complement the analytical results.
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