Non-uniform compressive sensing in wireless sensor networks: Feasibility and application

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. Firstly, most physical phenomena are compressible in some transform domain basis. Secondly, most WSNs have some fo...

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Bibliographic Details
Published in2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing pp. 271 - 276
Main Authors Yiran Shen, Wen Hu, Rana, R., Chun Tung Chou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2011
Subjects
Compressed sensing
Energy consumption
Temperature measurement
Temperature sensors
Transforms
Vectors
Wireless sensor networks
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Summary: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. Firstly, most physical phenomena are compressible in some transform domain basis. Secondly, most WSNs have some form of heterogeneity. Given these two observations, we propose a non-uniform compressive sensing method to improve the performance of WSNs by exploiting both compressibility and heterogeneity. We apply our proposed method to a real WSN data set. We find that our method can provide a more accurate temporal-spatial profile for a given energy budget compared with other sampling methods.
ISBN:145770675X
9781457706752
DOI:10.1109/ISSNIP.2011.6146546