A Framework for Air Pollution Monitoring in Smart Cities by Using IoT and Smart Sensors

Authors

  • Arshad Ali Islamic University in MAdinah

DOI:

https://doi.org/10.31449/inf.v46i5.4003

Abstract

In the last half century, the world population migrated from villages to cities due to lack of facilities, education institutes, medical services and job opportunities in the remote areas. Due to this migration the big cities are under pressure to remain liveable and healthier because population increasing quickly as compare to the services infrastructure. As the city’s population increasing very rapidly and demand for the civic facilities remains very high. One of the major addition is the road traffic which become the big contributor in air pollution and make the environment very unhealthy. In modern era, it is important to persistently monitor the environmental pollution of city to make it healthier and liveable. Internet of Things (IoT) with smart sensor system is the solution which can be used to monitor the city for various purposes and one of them is the pollution monitoring in big cities. Sensor system can be installed and managed by integrating with IoT and be monitored by sitting in city central office. In this research work, a framework for air quality monitoring is proposed to monitor environmental pollution for the smart cities by using IoT and smart sensors. The proposed system is capable to measure the humidity, carbon emission, temperature, smoke, sound and other hazardous particulate in the atmosphere and send the measurements to city central office where it is analysed for further actions for the betterment of city environment. Collected data is banked in a data bank for future use and also can be shared with other research institute and environmental agencies.

Author Biography

Arshad Ali, Islamic University in MAdinah

Dr. Ali is Associate Professor of Information Technology and Head of Accreditation & Quality at Islamic University, Al Madinah Al Munawarah, Saudi Arabia. He holds the current post since 2018. He specializes in the area of Wireless Sensor Network. He also working with ABET as Program Evaluator (PEV). He also available for ABET Accreditation consultancy in private capacity.He was born in Punjab, Pakistan, most of his early education from local city. He finish his BSc in Mathematics and Statistics from University of Punjab, Lahore, Pakistan in 2000 and completed his Masters in Computer Sciences from Iqra University, Lahore, Pakistan. After completing his Masters, he worked as Lecturer in Private College in Pakistan. In 2005, he moved to Birmingham, UK for further studies. He joined Aston University, Birmingham, UK and obtained his MSc Telecommunication Technology in 2007. In 2007, he joined Geotechnical Group, Department of Engineering, and University of Cambridge as Research Ass. (2007- 2009). In 2009, he was awarded a PhD (2009- 2012) scholarship from the Lancaster University, UK and he awarded PhD in 2012.He worked on the UK-NEES project and designed communication system for live experimentation between UK Universities (Cambridge, Oxford and Bristol). He was also part of the project at University of Cambridge “Installing Wireless Sensors in London Underground Tunnels” and it was collaborated with Imperial College, London. He is currently working as Assistant Professor and the Head of the Quality and Accreditation (ABET, NCAAA) in Islamic University Al Madinah Al Munawarah, KSA. His research interests are in the field of Wireless Sensor Network, Target Tracking over Sensor Network, Multisensor Data Fusion and Structural Health Monitoring by using Wireless Sensor Network. Currently, I am working as Associate Professor and Head of Quality and Accreditation at Islamic University. Partly, I am teaching different Information Technology Modules and I heading the two different accreditation (ABET, NCAAA). I am managing Quality improvement efforts and establish teaching and learning strategies at my current university. I am leading assessment methodology for Quality & Accreditation process. I have expertise on development of outcomes, Performance indicators (PI's). We are working to submit Initial SSR in November 2016. This workshop will very helpful to prepare the final SSR for ABET accreditation. Since December 2014, I am working with Quality & Accreditation office and I have nearly 2 years of experience in this process to prepare Student Outcome based education. As the most of the Universities working ABET accreditation to get accredited by ABET. I am also working in this environment since December, 2014. It is very much needed to attend the workshop to understand this process deeply. It will very helpful for me to prepare final SSR next year. I also want to join the Evaluation Team for ABET accreditation in future and enhance my career further in the field of quality and accreditation. In near future it will be very important to get ABET accreditation and I want to be the part of this system now.

References

References

Moore, F.C. Climate Change and Air Pollution: Exploring the Synergies and Potential for Mitigation in Industrializing Countries. Sustainability,pp. 43-54 (2009)

Brook R.D., Franklin B., Cascio W., Hong Y., Howard G., Lipsett M., Luepker R., Mittleman M., Samet J., Smith S.C. Jr. and Tager I., Air pollution and cardiovascular disease: a statement for healthcare professionals from the Expert Panel on Population and Prevention Science of the American Heart Association, Circulation, Vol. 109 (21) (2004)

Ali H., Soe J. K., and Weller S.R., A real-time ambient air quality monitoring wireless sensor network for schools in smart cities, In the ICSETS 2019 176 Proceedings of the IEEE First International Smart Cities Conference(ISC2’15),Guadalajara, Mexico (2015)

Sarath K., Guttikundaab, R., Health impacts of particulate pollution in a megacity—Delhi, India, Environmental Development,Vol. 6, pp. 8-20 (2013)

Kaiwen C., et al. ,An Intelligent Home Appliance Control-based on WSN for Smart Buildings, In the Proceedings of the IEEE International Conference on Sustainable Energy Technologies (ICSET), Hanoi, Vietnam, pp. 282-287 (2016)

Dutta J., et al., AirSense: Opportunistic crowd-sensing based air quality monitoring system for smart city, In the Proceedings of the IEEE SENSORS, Orlando, FL, USA (2016).

Tham K. W., et al., A Wireless Sensor-Actuator Network for Enhancing IEQ, In the Proceedings of the The 15th Conference of the International Society of Indoor Air Quality & Climate (ISIAQ),Philadelphia, PA, USA (2018)

Wang W., Yuan Y., and Ling Z., The Research and Implement of Air Quality Monitoring System Based on ZigBee, In the Proceedings of the 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCom), Wuhan, China, pp23-25 (2011)

Kumar A., et al., Implementation of Smart LED Lighting and Efficient Data Management System for Buildings, Energy Procedia, Vol. 143, pp. 173-178 (2017)

Marcello A., Gómez M., D.O., ThingSpeak — an API and Web Service for the Internet of Things, LIACS, Leiden University.

Ali A., Ikpehai A., AdebisiB. et al., Location prediction optimisation in WSNs using Kriging interpolation’, IET Wireless. Sens. Syst.,6, (3), pp. 74–81 (2016)

Kim, T., Ramos, C., & Mohammed, S., Smart city and IoT. Future Generation Computer Systems, 76, pp. 159–162 (2017)

Ferdoush, S., and Li, X., Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications. Elsevier Procedia Computer Science,34, 103–110 (2014)

Abraham, S., & Li, X.,A cost-effective wireless sensor network system for indoor air quality monitoring applications. Procedia Computer Science, pp.165–171 (2014)

Valverde, J., Rosello, V., Mujica, G., Portilla, J., Uriarte, A., & Riesgo, T., Wireless sensor network for environmental monitoring: Application in a coffee factory. International Journal of Distributed Sensor Networks, pp.1–18 (2012)

Cardell-Oliver, R., Smettem, K., Kranz, M., & Mayer, K., Field testing a wireless sensor network for reactive environmental monitoring. In 2004 intelligent sensors, sensor networks and information processing conference (ISSNIP,IEEE),pp. 7–12 (2004)

Ahonen, T., Virrankoski, R., & Elmusrati, M.,Greenhouse monitoring with wireless sensor network. In 2008 IEEE/ASME international conference on mechtronic and embedded systems and applications IEEE, pp. 403–408 (2008)

Fuertes W., Carrera D., Villacs C., Toulkeridis T., Galrraga F., Torres E., Aules H., Distributed system as internet of things for a new low-cost, air pollution wireless monitoring on real time,IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), pp. 58-67(2015)

Ahuja T., Jain V. and Gupta S., Smart Pollution Monitoring for Instituting Aware Travelling, International Journal of Computer Applications, vol 145(9) , pp 4-11(2016)

Ruiyun Yu, Yu Yang, Leyou Yang, Guangjie Han and Oguti Ann Move, RAQ–A Random Forest Approach for Predicting Air Quality in Urban Sensing Systems, Sensors, vol 16(86) ( 2016)

Natural Health Newsletter. https ://artic les.merco la.com/sites /artic les/archi ve/2015/06/20/noise -pollu tion.aspx, last accessed 2016/08/22

Making the ESP8266 low-powered with deep sleep. https ://www.losan t.com/blog/makin g-the-esp82 66-low-power ed-with-deep-sleep, last accessed 2016/08/24.

Ali A., Costas X.,Lyudmila M., et al.: ‘Kriging interpolation based sensor node position management in dynamic environment’. Proc. 9th IEEE Int. Symp. on Communication Systems, Networks and Digital Signal Processing (CSNDSP), pp. 293–297, Manchester, UK, (2016)

Downloads

Published

2022-05-19

How to Cite

Ali, A. (2022). A Framework for Air Pollution Monitoring in Smart Cities by Using IoT and Smart Sensors. Informatica, 46(5). https://doi.org/10.31449/inf.v46i5.4003