Wireless Sensor Network Components for Air Pollution Monitoring in the Urban Environment: Criteria and Analysis for Their Selection

Vendula Hejlová, Vít Voženílek

Department of Geoinformatics, Palacky University in Olomouc, Olomouc, Czech Republic.

DOI: 10.4236/wsn.2013.512027                

Abstract

Wireless sensor networks (WSNs) are fast evolving technology for collecting data in real time. Every wireless sensor network (WSN) is consisted of technical and software components which have to refer to the selected application. The paper focuses on the selection of WSN components. The WSN will be situated in the center of Olomouc City (OWSN). It will focus on measurements of harmful air pollutants and selected basic meteorological elements. The criteria for selection of WSN components including the most important parameters will be chosen and the final evaluation of the option utility will be made on the basis of multicriteria decision making process.

Keywords

Components of Wireless Sensor Network; Criterion; Multicriteria Analysis; Sensor Node

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	A. Asín and D. Gascón, “50 Sensor Application for a Smarter World,” 2013. http://www.libelium.com/top_50_iot_sensor_applications_ranking/pdf
[2]	F. L. Lewis, “Wireless Sensor Networks,” 2004. http://arri.uta.edu/acs/networks/WirelessSensorNetChap04.pdf
[3]	C. Murthy and B. S. Manoj, “Ad Hoc Wireless Networks: Architectures and Protocols,” Prentice-Hall, Upper Saddle River, p. 857.
[4]	S. Büttrich, “Wireless Sensor Network,” 2010. https://blog.itu.dk/SPVCE2010/files/2010/11/introduction_to_wsn_-_lecture_slides_spvc2010_l.pdf
[5]	A. Grilo, “Wireless Sensor Networks,” Single Node Architecture. 2007. http://comp.ist.utl.pt/ece-wsn/doc/slides/sensys-ch2-single-node.pdf
[6]	M. Podhorsky, “Bezdrátové Senzorové Sítě v Prumyslové Praxi,” Bachelor Thesis. VUT Brno, Brno, 2012. https://dspace.vutbr.cz/handle/11012/7764?show=full
[7]	A. Asín, “Sensor Network to Monitor Air Pollution in the Cities,” 2010. http://www.libelium.com/smart_cities_wsn_air_pollution/
[8]	A. Bielsa, “Smart City Project in Salamanca to Monitor Air Duality and Urban Traffic with Waspmote,” Libelium, Spain, 2011. http://www.libelium.com/Smart_City_Air_Quality_Urban_Traffic_Waspmote
[9]	M. Yajie, M. Richards, M. Ghanem, Y. Guo and J. Hassard, “Air Pollution Monitoring and Mining Based on Sensor Grid in London,” Sensors, Vol. 8, No. 6, 2008, pp. 3602-3621.
[10]	K. Leung, “Mobile Environmental Sensing System,” 1998. http://www.commsp.ee.ic.ac.uk/~wiser/message/index.html
[11]	J. H. Liu, et al., “An Air Quality Monitoring System for Urban Areas Based on the Technology of WSNs,” International Journal on Smart Sensing and Intelligent Systems, Vol. 5, No. 1, 2012, pp. 191-214.
[12]	A. Bielsa, “Smart City Project in Serbia to Monitor Environmental Parameters by Public Transportation with Waspmote,” 2012. http://www.libelium.com/smart_city_environmental_parameters_public_transportation_waspmote
[13]	K. M. Tajne, et. al., “Monitoring of Air Pollution Using Wireless Sensors—A Case Study of Monitoring Air Pol- lution in Nagpur City,” International Journal of Environmental Sciences, Vol. 2, No. 2, 2011, pp. 829-838.
[14]	R. V. Y. Prasad, et al., “Real Time Wireless Air Pollution Monitoring System,” ICTACT Journal on Communica- tion Technology: Special Issue on Next Generation Wireless Networks and Applications, Vol. 2, No. 2, 2011, pp. 370-375.
[15]	T. C. Keener, “WSNs for Monitoring Carbon Monoxide in Ambient Air,” A&WMA International Speciality Conference Leapfrogging Opportunities for Air Quality Improvement, Xi’an, 10-14 May 2010, pp. 201-210.
[16]	J. Talasová, “Fuzzy Metody Vícekriteriálního Rozhodování,” Olomouc, 2003, p. 179.
[17]	V. Vozenílek, “Artificial Intelligence and GIS: Mutual Meeting and Passing,” International Conference on Intel- ligent Networking And Collaborative Systems (INCOS 2009), 2009, pp. 279-284. http://dx.doi.org/10.1109/INCOS.2009.83
[18]	T. Pribylová, “Metody Rozhodování za Rizika a Jejich Pouzití v Ekonomické Praxi,” Bachelor Thesis, University Pardubice, Pardubice, 2012. http://dspace.upce.cz/bitstream/10195/46295/2/PribylovaT_MetodyRozhodovani_OS_2012.pdf
[19]	P. Tucek, V. Pászto and V. Vozenílek, “Regular Use of Entropy for Studying Dissimilar Geographical Phenomena” Geografie, Vol. 114, No. 2, 2009. pp. 117-129.
[20]	H. Karl and A. Willig, “Protocols and Architectures for Wireless Sensor Networks,” John Wiley & Sons, Ltd., Hoboken, 2005. http://doi.wiley.com/10.1002/0470095121
[21]	P. Holesinsky, “Lokalizacní Techniky Bezdrátovych Senzorovych Sítí,” Electrorevue, Vol. 6, No. 12, 2009, pp. 661-669.
[22]	J. Mizera, “Vyuzití Senzorovych Bezdrátovych Sítí pro Monitorování Zivotního Prostredí,” Bachelor Thesis, VUT Brno, Brno, 2011. http://www.vutbr.cz/www_base/zav_prace_soubor_verejne.php?file_id=42512