Deployment of Wireless Sensor Networks for Air Quality Monitoring

Ming Wei Wang; Yue Wang; Qiang Hua Li

doi:10.4028/www.scientific.net/AMR.712-715.1851

Paper Titles

Analysis of Signal Distortion Caused by Opening Ratio Variation of Main Scale and Index Scale in Linear Encoder
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The Research about La_0.75Sr_0.25Cr_0.5Mn_0.5O_3-δ Application as Dense Diffusion Barrier in Limiting Current Oxygen Sensors
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The Structure of the Hermetic Chamber in Convection-Based Tilt Sensor
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The Mobile Node Localization Algorithm Based on Monte Carlo
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Deployment of Wireless Sensor Networks for Air Quality Monitoring
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Research of Electromagnetic Flowmeter with Grounding Electrode
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Analysis of Quadrature Phase-Shift Error Caused by Angular Misalignment in Moiré Linear Encoders
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WSN Collaborative Target Tracking Based on Dynamic Clustering
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The Applications of Sensor Network for Smart Substation
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 712-715Deployment of Wireless Sensor Networks for Air...

Deployment of Wireless Sensor Networks for Air Quality Monitoring

Abstract:

At present, the effective technical means for air quality forecast and air pollution control is imperative for China environment utilities because of the increasing and serious environment pollution problems. In this paper, we discuss an air quality monitoring scenario which utilizes the wireless sensor network (WSN) to monitor the air quality of the transportation, industry and residential areas. Using the WSN, it is possible to deploy a large number of sensor nodes randomly distributed throughout the monitored area to capture environmental information of CO₂, NO, NO₂ and total suspended particulates. To achieve this goal, a special WSNs architecture is proposed, where the sensor nodes and coordinator nodes are designed by using ZigBee-based prototype wireless network, using GPRS to transmit the data from coordinator node to monitoring center, and designing the monitoring center server accessed from remote terminals through internet. In addition, the open source software (OSS) is proposed to design the database and website of the server. The designed air quality monitoring system reduces the cost of network installation and maintenance and provides a data delivery service for the air quality monitoring service in a timely and reliable manner.

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Periodical:

Advanced Materials Research (Volumes 712-715)

Pages:

1851-1855

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.712-715.1851

Citation:

Cite this paper

Online since:

June 2013

Authors:

Ming Wei Wang, Yue Wang, Qiang Hua Li

Keywords:

Air Quality, General Packet Radio Service (GPRS), Open Source Software, Wireless Sensor Network (WSN), ZigBee

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References

[1] Information on http://en.wikipedia.org/wiki/Air_pollution.

Google Scholar

[2] Seong-eun Yoo: Sensors Vol.13 (2013), pp.1160-1182.

Google Scholar

[3] Guangming Song,Yaoxin Zhou, Fei Ding and Aiguo Song: Sensors Vol.8(2008),pp.7259-7274.

Google Scholar

[4] Xiu-hong Li,Xiao Cheng, Ke Yan and Peng Gong: Sensors Vol.10(2010),pp.8963-8980.

Google Scholar

[5] Yujin Lim, Hak-Man Kim and Sanggil Kang: Sensors Vol. 10(2010), pp.9712-9725.

Google Scholar

[6] Mingwei Wang,Huizhen Li:The 3rd International Conference on Digital Manufacturing & Automation, edited by Applied Mechanics and Materials (2012).

Google Scholar

[7] Texas Instruments: Data sheet of MSP430xG461x Mixed Signal Microcontroller (2011).

Google Scholar

[8] Texas Instruments. Data sheet of 2.4 GHz IEEE 802.15.4/ZigBee-ready RF Transceiver(2008).

Google Scholar

[9] Cinterion Company, MC75i Hardware Interface Description (2008).

Google Scholar

[10] Li Chen, Zheng-su Tao:Instrument Technique and Sensor Vol.10(2008),pp.7-9 (in Chinese).

Google Scholar