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This paper presents a Jacobi iterative based computational paradigm for solving the data regression in wireless sensor networks (WSNs). The in-network computational scheme is proposed to construct a mixture regression model through the cluster-based Jacobi distributed iteration, where the intersections among mixture structure of regression model are decoupled through a new cluster-based message passing...
This paper presents a steepest descent based algorithm for the distributed optimization towards to data regression modeling in wireless sensor networks (WSNs). In doing this, the junction tree based routing structure is employed to organize the nodes in coordination to accomplish the in-network implementation of the distributed iterative scheme. Experimental results are reported to demonstrate the...
This paper presents a cluster based routing scheme to perform the distributed Gaussian elimination algorithm for solving the regression algebraic equation towards to data regression. Under this routing framework, the junction tree structure is incorporated to coordinate the clusters so as to decouple the intersections among the neighboring clusters via a new message passing protocol. Simulation-based...
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