NDLI: Data collection algorithm for clustered large-scale wireless sensor networks using virtual nodes

Content Provider	IEEE Xplore Digital Library
Author	Jianquan Guo Wei Zhao Songling Huang
Copyright Year	2010
Description	Author affiliation: Dept. of Electrical Engineering, Tsinghua University, Beijing, China (Jianquan Guo; Wei Zhao; Songling Huang)
Abstract	For densely deployed wireless sensor networks, there is a high correlation between multiple sensors in close proximity. In this paper, a data collection algorithm for clustered large-scale wireless sensor networks is proposed. The cluster heads fuse the data of cluster members by polynomial fitting, and transfer the fitting coefficients to base station or other cluster heads. Based on the locations of cluster heads and there fitting coefficients, base station and other cluster heads can construct in their memory numbers of so called “virtual nodes”, by which, the data status of the whole network can be recurred by base station, or in-line data fusion can be implemented by other cluster heads. In this paper, we give the method how to polynomial fit the data in a cluster, how to construct “virtual nodes”, and how to reshow the original data and implement in-line data fusion by “virtual nodes”.
Starting Page	512
Ending Page	517
File Size	732572
Page Count	6
File Format	PDF
ISBN	9781424428328
ISSN	10915281
DOI	10.1109/IMTC.2010.5488144
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms Large-scale systems Wireless sensor networks Base stations Polynomials Fuses Principal component analysis Data mining Data acquisition Robustness wireless sensor networks data collection virtual nodes clustered
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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