Energy efficient gas emission monitoring systems using Wireless Sensor Networks

M. A. Razzaque, Md Akhtaruzzaman Adnan, Abdul Hanan Abdullah

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

5 Citations (Scopus)

Abstract

Use of Wireless Sensor Networks(WSNs) in environmental gas emission monitoring system can provide inexpensive, portable, and easily accessible system. In most cases naive use of WSNs in gas emission monitoring will fail to provide long-term and cost-effective system due to very high power requirement of most gas sensors. In this work, we support this claim by a quantitative analysis of the main operational energy costs of some popular gas sensors, radios, and sensor motes use in WSN-based gas monitoring systems. In light of the importance of sensing level energy costs for power hungry gas sensors, we consider compressed sensing as a potential approach to minimize sensing energy costs in Wireless Sensor Networks based gas emission monitoring system. Numerical experiments investigating the effectiveness of compressed sensing using real datasets show its potential for minimizing sensing and overall energy costs in Wireless Sensor Networks based gas emission monitoring system. Results shown that, for gas monitoring, compressed sensing can provide greater energy efficiency than transform coding, and model based adaptive sensing in Wireless Sensor Networks.

Original languageEnglish
Title of host publicationICUFN 2013 - 5th International Conference on Ubiquitous and Future Networks
Pages588-593
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2013
Event5th International Conference on Ubiquitous and Future Networks - Da Nang, Viet Nam
Duration: 2 Jul 20135 Jul 2013
Conference number: 5

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference5th International Conference on Ubiquitous and Future Networks
Abbreviated titleICUFN 2013
CountryViet Nam
CityDa Nang
Period2/07/135/07/13

Fingerprint

Gas emissions
Wireless sensor networks
Compressed sensing
Monitoring
Chemical sensors
Costs
Radio receivers
Gases
Electron energy levels
Energy efficiency
Sensors
Chemical analysis
Experiments

Cite this

Razzaque, M. A., Adnan, M. A., & Abdullah, A. H. (2013). Energy efficient gas emission monitoring systems using Wireless Sensor Networks. In ICUFN 2013 - 5th International Conference on Ubiquitous and Future Networks (pp. 588-593). [6614887] (International Conference on Ubiquitous and Future Networks, ICUFN). https://doi.org/10.1109/ICUFN.2013.6614887
Razzaque, M. A. ; Adnan, Md Akhtaruzzaman ; Abdullah, Abdul Hanan. / Energy efficient gas emission monitoring systems using Wireless Sensor Networks. ICUFN 2013 - 5th International Conference on Ubiquitous and Future Networks. 2013. pp. 588-593 (International Conference on Ubiquitous and Future Networks, ICUFN).
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Razzaque, MA, Adnan, MA & Abdullah, AH 2013, Energy efficient gas emission monitoring systems using Wireless Sensor Networks. in ICUFN 2013 - 5th International Conference on Ubiquitous and Future Networks., 6614887, International Conference on Ubiquitous and Future Networks, ICUFN, pp. 588-593, 5th International Conference on Ubiquitous and Future Networks, Da Nang, Viet Nam, 2/07/13. https://doi.org/10.1109/ICUFN.2013.6614887

Energy efficient gas emission monitoring systems using Wireless Sensor Networks. / Razzaque, M. A.; Adnan, Md Akhtaruzzaman; Abdullah, Abdul Hanan.

ICUFN 2013 - 5th International Conference on Ubiquitous and Future Networks. 2013. p. 588-593 6614887 (International Conference on Ubiquitous and Future Networks, ICUFN).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

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Razzaque MA, Adnan MA, Abdullah AH. Energy efficient gas emission monitoring systems using Wireless Sensor Networks. In ICUFN 2013 - 5th International Conference on Ubiquitous and Future Networks. 2013. p. 588-593. 6614887. (International Conference on Ubiquitous and Future Networks, ICUFN). https://doi.org/10.1109/ICUFN.2013.6614887