NDLI: Energy-efficient routing scheme for distributed regression in wireless sensor network

Content Provider	IEEE Xplore Digital Library
Author	Hou Chaojun Wang Guoli
Copyright Year	2008
Description	Author affiliation: Sch. of Inf. Sci. & Technol., Sun Yat-Sen Univ., Guangzhou (Hou Chaojun; Wang Guoli)
Abstract	This paper presents an energy-efficient routing scheme for the in-network implementation of data regression modelling in wireless sensor networks (WSNs). With the kernel based distributed representation, a clustering based routing architecture is proposed to implement the distributed Gaussian elimination for solving the regression algebraic equation. In particular, the skeleton routing tree is built to coordinate the local computations associated with the clusters. The rest ramose nodes within each cluster are limited to contribute the corresponding local computations. Compared with the junction tree formation over all nodes, the notion of skeleton tree (ST) proposed here suppresses the redundant message passing among the ramose nodes with each cluster without deteriorating data modelling performance. Experimental results are reported to demonstrate the effectiveness of the proposed approach.
Starting Page	354
Ending Page	358
File Size	159992
Page Count	5
File Format	PDF
ISBN	9787900719706
DOI	10.1109/CHICC.2008.4605792
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute Of Intelligence M&C Technical Of KMUST
Subject Keyword	Wireless sensor networks Message passing Data acquisition Hidden Markov models Regression Routing Skeleton Data models Distributed computation Kernel
Content Type	Text
Resource Type	Article

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