Design of Robust Sensor Nodes to Monitor Carbon Monoxide and Natural Gas Levels

§ VIT University

Send Message

To: Author

Design of Robust Sensor Nodes to Monitor Carbon Monoxide and Natural Gas Levels

Article Fingerprint

ReserarchID

Y2887

Design of Robust Sensor Nodes to Monitor Carbon Monoxide and Natural Gas Levels Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Reading Preferences
Font Size
Line Spacing
Background
This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

In the present scenario, effective real time pollution monitoring equipments require large number of nodes (preferably >50) which are capable of interaction and hence provide reliable information. Increasing the number of sensors increases the possibility of determining the exact amount of gas levels in the surrounding environment. Hence the sensor nodes and the wireless network should together work cohesively to determine the correct levels of the gas desired to be monitored. Also it is important that the sensor node has low power consumption and is robust in extreme climatic conditions. Our main focus is to develop many such sensor nodes and develop a simple protocol to effectively use them. In this paper we have only considered the design of one such node which can sense the levels of Carbon Monoxide, and hence a solid-state semiconductor Carbon Monoxide gas sensor is used. The paper describes the parameters like robustness, low power requirements and a highly efficient mode of communication to design a sensor node.

References

13 Cites in Article
  1. 1. Lamling Venusshum,Pachamuthu Rajalakshmi,Ayo Afonja,Graeme Mcphillips,Russell Binions,Lawrence Cheng,Stephen Hailes On the Development of a Sensor Module for real-time Pollution Monitoring. On the Development of a Sensor Module for real-time Pollution Monitoring
  2. 2. Dipanjan Bhattacharjee,Sourabh Kumar,Akash Kumar,Sushabhan Choudhury (2010). Design and Development of Wireless Sensor Node. IJCSE) International Journal on Computer Science and Engineering, 02(07), 2431-2438.
  3. 3. Anuar Marianah Masrie,Ramli Ahmad,Adnan A Novel Integrated Sensor System for Indoor Air Quality Measurement. A Novel Integrated Sensor System for Indoor Air Quality Measurement
  4. 4. Emil Cordos,Ludovic Ferenczi,Sergiu Cadar,Simona Costiug,Gabriela Pitl,Adrian Aciu,Adrian Ghita (2006). Methane and Carbon Monoxide Gas Detection system based on semiconductor sensor. 2006 IEEE International Conference on Automation, Quality and Testing, Robotics, 2, 208-211.
  5. 5. Y Ishiguro,T Suzuki,Y Nagawa,O Kino (null). Gas sensors for environment monitoring. Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9), 1521-1522.
  6. 6. A Oprea,N Bârsan,U Weimar,J Courbat,D Briand,N De Rooij Integrated Temperature Humidity and Gas Sensors on Flexible Substrates for Low-Power Applications. Integrated Temperature Humidity and Gas Sensors on Flexible Substrates for Low-Power Applications
  7. 7. S Bicelli,A Flammini,A Depari,D Marioli,A Ponzoni,G Sberveglieri,A Taroni Low-Power Carbon Monoxide MOX Sensors for Wireless Distributed Sensor Networks. Low-Power Carbon Monoxide MOX Sensors for Wireless Distributed Sensor Networks
  8. 8. Joseph Chilton,Clarence Carpenter (1989). A miner's personal carbon monoxide alarm. IEEE Transactions on Industry Applications, 25(3), 503-508.
  9. 9. Chu Heng He,Samir El-Kilani,Milutin Stanacevic Mobile Gas Sensor and Source Detector. Mobile Gas Sensor and Source Detector
  10. 10. Abdellah Chehri,Wissam Farjow,Hussein. Mouftah,Xavier Fernando (2011). Design of wireless sensor network for mine safety monitoring. 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE), 001532-001535.
  11. 11. Octavian Postolache,Pedro Girao,Miguel Pereira Neural Network Application in a Carbon Monoxide Measurement System. Neural Network Application in a Carbon Monoxide Measurement System
  12. 12. Lu Yang (null). Implementation of a wireless sensor network with eZ430-RF2500 development tools and MSP430FG4618/F2013 experimenter boards from Texas Instruments. Implementation of a wireless sensor network with eZ430-RF2500 development tools and MSP430FG4618/F2013 experimenter boards from Texas Instruments
  13. 13. Yang Lijian,Liu Gang,Zhang Guoguang,Gao Songwei (2009). Sensor development and application on the oil-gas pipeline magnetic flux leakage detection. 2009 9th International Conference on Electronic Measurement & Instruments, 2-876-2-878.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Elizabeth Rufus. 2014. "Design of Robust Sensor Nodes to Monitor Carbon Monoxide and Natural Gas Levels". Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 13 (GJRE Volume 13 Issue 53 (F17)).

More Citation Formats

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-F Classification FOR Code: 850499
290901
Version of record

v1.2

Issue date
December 16, 2013

Language
English
Order Article Reprint
Experience in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 1K
Total Downloads: 57
All Trends

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Design of Robust Sensor Nodes to Monitor Carbon Monoxide and Natural Gas Levels

Elizabeth Rufus
Elizabeth Rufus VIT University