Energy-efficient sensing in wireless sensor networks using compressed sensing
Sensing of the application environment is the main purpose of a wireless sensor network. Most existing energy management strategies and compression techniques assume that the sensing operation consumes significantly less energy than radio transmission and reception. This assumption does not hold in...
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Online Access: | http://eprints.utm.my/id/eprint/52686/1/MohammadAbdurRazzaque2014_Energy-efficientsensinginwireless.pdf http://eprints.utm.my/id/eprint/52686/ https://dx.doi.org/10.3390/s140202822 |
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my.utm.526862018-06-29T23:00:19Z http://eprints.utm.my/id/eprint/52686/ Energy-efficient sensing in wireless sensor networks using compressed sensing Razzaque, Mohammad Abdur Dobson, Simon QA75 Electronic computers. Computer science Sensing of the application environment is the main purpose of a wireless sensor network. Most existing energy management strategies and compression techniques assume that the sensing operation consumes significantly less energy than radio transmission and reception. This assumption does not hold in a number of practical applications. Sensing energy consumption in these applications may be comparable to, or even greater than, that of the radio. In this work, we support this claim by a quantitative analysis of the main operational energy costs of popular sensors, radios and sensor motes. In light of the importance of sensing level energy costs, especially for power hungry sensors, we consider compressed sensing and distributed compressed sensing as potential approaches to provide energy efficient sensing in wireless sensor networks. Numerical experiments investigating the effectiveness of compressed sensing and distributed compressed sensing using real datasets show their potential for efficient utilization of sensing and overall energy costs in wireless sensor networks. It is shown that, for some applications, compressed sensing and distributed compressed sensing can provide greater energy efficiency than transform coding and model-based adaptive sensing in wireless sensor networks. Sensors 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/52686/1/MohammadAbdurRazzaque2014_Energy-efficientsensinginwireless.pdf Razzaque, Mohammad Abdur and Dobson, Simon (2014) Energy-efficient sensing in wireless sensor networks using compressed sensing. Sensors (Switzerland), 14 (2). pp. 2822-2859. ISSN 1424-8220 https://dx.doi.org/10.3390/s140202822 DOI:10.3390/s140202822 |
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QA75 Electronic computers. Computer science Razzaque, Mohammad Abdur Dobson, Simon Energy-efficient sensing in wireless sensor networks using compressed sensing |
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Sensing of the application environment is the main purpose of a wireless sensor network. Most existing energy management strategies and compression techniques assume that the sensing operation consumes significantly less energy than radio transmission and reception. This assumption does not hold in a number of practical applications. Sensing energy consumption in these applications may be comparable to, or even greater than, that of the radio. In this work, we support this claim by a quantitative analysis of the main operational energy costs of popular sensors, radios and sensor motes. In light of the importance of sensing level energy costs, especially for power hungry sensors, we consider compressed sensing and distributed compressed sensing as potential approaches to provide energy efficient sensing in wireless sensor networks. Numerical experiments investigating the effectiveness of compressed sensing and distributed compressed sensing using real datasets show their potential for efficient utilization of sensing and overall energy costs in wireless sensor networks. It is shown that, for some applications, compressed sensing and distributed compressed sensing can provide greater energy efficiency than transform coding and model-based adaptive sensing in wireless sensor networks. |
format |
Article |
author |
Razzaque, Mohammad Abdur Dobson, Simon |
author_facet |
Razzaque, Mohammad Abdur Dobson, Simon |
author_sort |
Razzaque, Mohammad Abdur |
title |
Energy-efficient sensing in wireless sensor networks using compressed sensing |
title_short |
Energy-efficient sensing in wireless sensor networks using compressed sensing |
title_full |
Energy-efficient sensing in wireless sensor networks using compressed sensing |
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Energy-efficient sensing in wireless sensor networks using compressed sensing |
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Energy-efficient sensing in wireless sensor networks using compressed sensing |
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energy-efficient sensing in wireless sensor networks using compressed sensing |
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Sensors |
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2014 |
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http://eprints.utm.my/id/eprint/52686/1/MohammadAbdurRazzaque2014_Energy-efficientsensinginwireless.pdf http://eprints.utm.my/id/eprint/52686/ https://dx.doi.org/10.3390/s140202822 |
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