Nonuniform Compressive Sensing for Heterogeneous Wireless Sensor Networks

In this paper, we consider the problem of using wireless sensor networks (WSNs) to measure the temporal-spatial profile of some physical phenomena. We base our work on two observations. First, most physical phenomena are compressible in some transform domain basis. Second, most WSNs have some form o...

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Published in:IEEE sensors journal 2013-06, Vol.13 (6), p.2120-2128
Main Authors: Yiran Shen, Wen Hu, Rana, R., Chun Tung Chou
Format: Article
Language:English
Subjects:
Compressed sensing
Compressibility
Compressive sensing (CS)
Detection
Energy budgets
Energy consumption
Heterogeneity
Nonuniform
nonuniformal sampling
Remote sensors
sample schedule
Sensors
Transforms
Vectors
Wind speed
Wireless networks
Wireless sensor networks
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description In this paper, we consider the problem of using wireless sensor networks (WSNs) to measure the temporal-spatial profile of some physical phenomena. We base our work on two observations. First, most physical phenomena are compressible in some transform domain basis. Second, most WSNs have some form of heterogeneity. Given these two observations, we propose a nonuniform compressive sensing method to improve the performance of WSNs by exploiting both compressibility and heterogeneity. We apply our proposed method to real WSN data sets. We find that our method can provide a more accurate temporal-spatial profile for a given energy budget compared with other sampling methods.
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subjects Compressed sensing
Compressibility
Compressive sensing (CS)
Detection
Energy budgets
Energy consumption
Heterogeneity
Nonuniform
nonuniformal sampling
Remote sensors
sample schedule
Sensors
Transforms
Vectors
Wind speed
Wireless networks
Wireless sensor networks
title Nonuniform Compressive Sensing for Heterogeneous Wireless Sensor Networks
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