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2016 | OriginalPaper | Chapter

Lightweight Multivariate Sensing in WSNs

Authors : João Marco C. Silva, Paulo Carvalho, Kalil Araujo Bispo, Solange Rito Lima

Published in: Ubiquitous Computing and Ambient Intelligence

Publisher: Springer International Publishing

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Abstract

This paper proposes a self-adaptive sampling scheme for WSNs, which aims at capturing accurately the behavior of the physical parameters of interest in each specific WSN context yet reducing the overhead in terms of sensing events. The sampling scheme relies on a set of low-complexity rules capable of auto-regulate the sensing frequency in accordance with each parameter behavior. As proof-of-concept, based on real environmental datasets, we provide statistical indicators illustrating the added value of the proposed sampling scheme in reducing sensing events without compromising the estimation accuracy of physical phenomena.

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Metadata
Title
Lightweight Multivariate Sensing in WSNs
Authors
João Marco C. Silva
Paulo Carvalho
Kalil Araujo Bispo
Solange Rito Lima
Copyright Year
2016
Book
Ubiquitous Computing and Ambient Intelligence

Print ISBN: 978-3-319-48798-4

Electronic ISBN: 978-3-319-48799-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-48799-1_24

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