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Distributed inversion algorithm for sensor networks

机译:传感器网络的分布式反演算法

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Application of sensor networks for monitoring of civil infrastructures is attracting wide interest from research community.Dense measurement is expected to improve monitoring capability,while computational and communication burden would be enormous for large-scale infrastructure.In this paper,a distributed computing algorithm for sensor networks to solve inverse problems are proposed,which utilizes processing and communication capabilities and would add intelligence to the network to overcome these difficulties.The developed algorithm is to obtain source distributions from measurement for physical phenomena,which decay with distance,and its fundamental characteristics are studied in contrast to ordinary centralized computing method.Capability of distributed computing to solve inverse problems using limited measurement information is demonstrated by simulation studies,which would promote the applicability and advantage of sensor networks for monitoring.
机译:传感器网络在民用基础设施监测中的应用引起了研究界的广泛兴趣。密集测量有望提高监测能力,而对于大规模基础设施而言,计算和通信负担将是巨大的。提出了一种解决逆问题的网络,该网络利用处理和通信能力,并为网络增加智能以克服这些困难。开发的算法是从物理现象的测量中获得源分布,该分布随距离而衰减,其基本特征是通过仿真研究证明了分布式计算使用有限的测量信息来解决逆问题的能力,这将促进传感器网络在监测中的适用性和优势。

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