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Cluster based Routing Scheme for Distributed Regression in Wireless Sensor Networks: Gaussian Eliminations

机译:无线传感器网络中基于群集的分布式回归路由方案:高斯消除

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摘要

This paper addresses the issue of the in-network implemen-rntation of data regression in wireless sensor networks (WSNs). In particular, a cluster based routing scheme is proposed for achieving the distributed Gaussian elimination in solving the regression algebraic equation. In doing this, the tree structure is incorporated to coordinate the clusters so as to decouple the intersections with each other via a new message passing protocol. The cluster based routing scheme proposed here contributes not only to ease network topology management, but also to speed the convergence of distributed computation. Experimental results are reported to illustrate the validation of the proposed approach.
机译:本文解决了无线传感器网络(WSN)中数据回归在网络内实现的问题。特别地,提出了一种基于簇的路由方案,以在求解回归代数方程时实现分布式高斯消除。在此过程中,合并了树结构以协调群集,以便通过新的消息传递协议将交叉点彼此分离。本文提出的基于群集的路由方案不仅有助于简化网络拓扑管理,而且有助于加快分布式计算的收敛速度。据报道实验结果说明了该方法的有效性。

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