Open Access

QoS Enabled IoT Based Low Cost Air Quality Monitoring System with Power Consumption Optimization


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1. Zanella, A., N. Bui, A. Castellani, L. Vangelista. Internet of Things for Smart Cities. – IEEE Internet of Things Journal, Vol. 1, February 2014, No 1, pp. 22-32.10.1109/JIOT.2014.2306328Search in Google Scholar

2. World Health Assembly, 69, Health and the Environment: A Draft Road Map for an Enhanced Global Response to the Adverse Health Effects of Air Pollution: Report by the Secretariat. 2015. Available: World Health Organization. https://apps.who.int/iris/handle/10665/252673.Search in Google Scholar

3. WHO, Air Quality Guidelines for Particulate Matter, Ozone, Nitrogen Dioxide, and Sulfur Dioxide. Global Update, 2005. http://whqlibdoc.who.int/hq/2006/WHO_SDE_PHE_OEH_06.02_eng.pdfSearch in Google Scholar

4. Hu, R., X. Xy, XuSk, Y. Wang, M. Jiang, L. R. Wen, W. Lai. PM2.5 Exposure Elicits Oxidative Stress Responses and Mitochondrial Apoptosis Pathway Activation in HaCaT Keratinocytes. – Chin Med J., Vol. 130, 2017, pp. 2205-2214.10.4103/0366-6999.212942559833328816208Search in Google Scholar

5. Atzori, L., A. Iera, G. Morabito. The Internet of Things: A Survey. – Computer Networks, Vol. 54, 2010, Issue 15, pp. 2787-2805.10.1016/j.comnet.2010.05.010Search in Google Scholar

6. PopeIII, C. A., D. W. Dockery. Health Effects of Fine Particulate Air Pollution: Lines That Connect. – Journal of the Air & Waste Management, Vol. 56, 2006, Issue 6, pp. 709-742.10.1080/10473289.2006.1046448516805397Search in Google Scholar

7. Li, S. -T., S. -W. Chou, J. Pan. Multi-Resolution Spatio-Temporal Data Mining for the Study of Air Pollutant Regionalization. – In: Proc of 33rd Annual Hawaii International Conference on System Sciences, Maui, HI, USA, 2000, p. 7.Search in Google Scholar

8. Reisinger, G. Fraser, P. Johnston, R. McKenzie, W. A. Matthews. Slow-Scanning DOAS System for Urban Air Pollution Monitoring. – In: Proc. of 18th Quadrennial Ozone Symposium, 1996, pp. 12-21.Search in Google Scholar

9. Richards, M., M. Ghanem, M. Osmond, Y. Guo. Grid-Based Analysis of Air Pollution Data. – Ecological Mod., Vol. 194, 2006, No 1-3, pp. 274-286.10.1016/j.ecolmodel.2005.10.042Search in Google Scholar

10. Al-Haija, Q. Abu, H. Al-Qadeeb, A. Al-Lwaimi. Case Study: Monitoring of AIR Quality in King Faisal University Using a Microcontroller and WSN. – Procedia Computer Science, Vol. 21, 2013, pp. 517-521.10.1016/j.procs.2013.09.072Search in Google Scholar

11. Kularatna, N., B. H. Sudantha. An Environmental Air Pollution Monitoring System Based on the IEEE 1451 Standard for Low Cost Requirements. – IEEE Sensors Journal, Vol. 8, April 2008, No 4, pp. 415-422.10.1109/JSEN.2008.917477Search in Google Scholar

12. Al-Ali, A. R., I. Zualkernan, F. Aloul. A Mobile GPRS-Sensors Array for Air Pollution Monitoring. – IEEE Sensors Journal, Vol. 10, October 2010, No 10, pp. 1666-1671.10.1109/JSEN.2010.2045890Search in Google Scholar

13. Devarakonda, S., ParveenSevusu, H. Liu, R. Liu, L. BadriNath. Real-Time Air Quality Monitoring Through Mobile Sensing in Metropolitan Areas. – In: Proc. of 2nd ACM SIGKDD International Workshop on Urban Computing, 2013.10.1145/2505821.2505834Search in Google Scholar

14. Tracking Air Pollution in Delhi. 2014. Accessed on 12 December 2019. https://blog.socialcops.com/engineering/tracking-air-pollution-in-delhi,Search in Google Scholar

15. Sherin, A., L. Xinrong. A Cost-Effective Wireless Sensor Network System for Indoor Air Quality Monitoring Applications. – Procedia Computer Science, Vol. 34, 2014, pp. 165-171.10.1016/j.procs.2014.07.090Search in Google Scholar

16. Kumar, A., G. P. Hancke. Energy Efficient Environment Monitoring System Based on the IEEE 802.15.4 Standard for Low Cost Requirements. – IEEE Sensors J., Vol. 14, 2014, No 8, pp. 2557-2566.10.1109/JSEN.2014.2313348Search in Google Scholar

17. Ferdoush, S., X. Li. Wireless Sensor Network System Design Using Raspberry Pi and Arduino for Environmental Monitoring Applications. – Procedia Computer Science, Vol. 34, 2014, pp. 103-110.10.1016/j.procs.2014.07.059Search in Google Scholar

18. Bacco, M., F. Delmastro, E. Ferro, A. Gotta. Environmental Monitoring for Smart Cities. – IEEE Sensors Journal, Vol. 17, 2017, No 23, pp. 7767-7774.10.1109/JSEN.2017.2722819Search in Google Scholar

19. Morawska, L., P. Thai, X. Liu, A. Asumadu-Sakyia, G. Ayoko, A. Bartonova, A. Bedini, F. Chai, B. Christensen. Applications of Low-Cost Sensing Technologies for Air Quality Monitoring and Exposure Assessment: How Far Have They Gone? – Environ. Int., Vol. 116, 2018, pp. 286-299.10.1016/j.envint.2018.04.018614506829704807Search in Google Scholar

20. Sharma, D. K., M. Rajput, S. A. Akbar, A. Kumar. Development of Embedded System for Carbon Nano Tube (CNT) Based Ammonia (NH3) Gas Sensor. – In: Annual IEEE India Conference (INDICON), 2015, pp. 1-4.10.1109/INDICON.2015.7443803Search in Google Scholar

21. Tiwari, A., S. Sadistap, S. K. Mahajan. Development of Environment Monitoring System Using Internet of Things. – Ambient Communications and Computer Systems. AISC, Vol. 696, 2018, pp. 403-412.10.1007/978-981-10-7386-1_35Search in Google Scholar

22. Marques, G., I. M. Pires, N. Miranda, R. Pitarma. Air Quality Monitoring Using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things. – Electronics, Vol. 8, 2019, Issue 12.10.3390/electronics8121375Search in Google Scholar

23. He, Hong-di, MinLi, Wei-liWang, Zhan-yongWang, YuXue. Prediction of PM2.5 Concentration Based on the Similarity in Air Quality Monitoring Network. – Building and Environment, Vol. 137, 2018, pp. 11-17.10.1016/j.buildenv.2018.03.058Search in Google Scholar

24. Dhingra, S., R. B. Madda, A. H. Gandomi, R. Patan, M. Daneshmand. Internet of Things Mobile – Air Pollution Monitoring System (IoT-Mobair) – Internet of Things Journal, Vol. 6, 2019, Issue 3, pp. 5577-5584.10.1109/JIOT.2019.2903821Search in Google Scholar

25. Huang, J., et al. A Crowdsource-Based Sensing System for Monitoring Fine-Grained Air Quality in Urban Environments. – IEEE Internet of Things Journal, Vol. 6, 2019, No 2, pp. 3240-3247.10.1109/JIOT.2018.2881240Search in Google Scholar

26. Sun, S., X. Zheng, J. Villalba-Díez, J. Ordieres-Mere. Indoor Air-Quality Data-Monitoring System: Long-Term Monitoring Benefits. – Sensors, Vol. 19, 2019, Issue 19.10.3390/s19194157680662631557937Search in Google Scholar

27. CPCB. 2019. National Air Quality Monitoring Programme. Accessed: 12 December, 2019. https://cpcb.nic.in/about-namp/Search in Google Scholar

28. https://timesofindia.indiatimes.com/city/ahmedabad/vadodara-most-polluted-industrial-cluster-ngt/articleshow/70312184.cmsSearch in Google Scholar

29. Espressif, Inc. User Manual. Espressif, Inc., Shanghai, China, 2016. Accessed on 12 December 2019. https://www.espressif.com/sites/default/files/9b-esp8266-low_power_solutions_en_0.pdfSearch in Google Scholar

30. Winsen Electronics, Co. Electro Chemical CO Module User Manual, Winsen Electronics, Co., China, 2015. https://www.winsen-sensor.com/sensors/co-sensor/ze07-co.htmlSearch in Google Scholar

31. Nova Fitness, Co. Laser PM Sensor Specification, Nova Fitness, Co., China, 2015. http://inovafitness.com/en/a/chanpinzhongxin/95.htmlSearch in Google Scholar

32. Miskowicz, M. Send-On-Delta Concept: An Event-Based Data Reporting Strategy. – Sensors, Vol. 6, 2006, Issue 1, pp. 49-63.10.3390/s6010049Search in Google Scholar

33. Nguyen, V., Y. Suh. Networked Estimation with an Area-Triggered Transmission Method. – Sensors, Vol. 8, 2008, No 2, pp. 897-909.10.3390/s8020897392749827879742Search in Google Scholar

34. Suh, Y. Send-On-Delta Sensor Data Transmission with a Linear Predictor. – Sensors, Vol. 7, 2007, No 4, pp. 537-547.10.3390/s7040437Search in Google Scholar

eISSN:
1314-4081
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology