Abstract
The web technology is rapidly increased in various fields. This paper aims to create a server on cloud platform to store data and process the information collected by the air quality monitoring system (AQMS). The monitoring system is developed for transmission and reception of the information received from various data-sources with the use of sensors integrated with microcontroller. The wireless sensing real-time data are transmitted into desired form across the network through internet connection. AQMS is able to monitor concentration of CO2, CO, NO2, temperature and relative humidity and stores the concentration values in the database. This research deals with web service with generous API service, which acts as a messenger for different sensors to monitor the sensed data at cloud network. This process comprises a feature of porting sensed data using Channel ID and read API key assigned by the provider that is able to track data at particular intervals. Front end application is developed and hosted on the cloud platform. Additionally, an App is developed on Android platform to visualize real-time data, which are uploaded in the designed web server, displayed data on the smart phone. MIT App Inventor allows programming to develop mobile applications for Android operating system. An online survey is used to examine the trends of air quality and to gather feedback regarding the undergoing process in the environment. The results of air pollution information indicated that the app supported user’s achievement.
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Chung, W., & Oh, S. (2006). Remote monitoring system with wireless sensor module for room environment. Sensors and Actuators B: Chemical, 113(1), 64–70. https://doi.org/10.1016/j.snb.2005.02.023.
Zhao, Z., Wang, J., Fu, C., Liu, Z., Liu, D., & Li, B. (2018). Design of a smart sensor network system for real-time air quality monitoring on green roof. Journal of Sensors. https://doi.org/10.1155/2018/1987931.
Thakur, D., Kumar, Y., Kumar, A., et al. (2019). Applicability of wireless sensor networks in precision agriculture: A review. Wireless Personal Communications, 107, 471–512. https://doi.org/10.1007/s11277-019-06285-2.
Purwanto, P., Suryono, S., & Sunarno, S. (2019). Design of air quality monitoring system based on web using wireless sensor network. In 2019 3rd international conference of chemical and materials engineering. https://doi.org/https://doi.org/10.1088/1742-6596/1295/1/012043
Chong, C., & Kumar, S. P. (2003). Sensor networks: Evolution, opportunities, challenges. Proceedings of the IEEE, 91(8), 1247–1256. https://doi.org/10.1109/jproc.2003.814918.
Gao, R., & Fan, Z. (2006). Architectural design of a sensor node controller for optimized energy utilization in sensor networks. IEEE Transactions on Instrument and Measurement, 55(2), 415–428. https://doi.org/10.1109/TIM.2006.870321.
Salvadori, F., Campos, M., Sausen, P., Camargo, R., Gehrke, C., Rech, C., et al. (2009). Monitoring in industrial systems using wireless sensor network with dynamic power management. IEEE Transactions on Instrument and Measurement, 58(9), 3104–3111. https://doi.org/10.1109/TIM.2009.2016882.
Gallo, D., Landi, C., & Pasquino, N. (2009). Multisensor network for urban electromagnetic field monitoring. IEEE Transactions on Instrument and Measurement, 58(9), 3315–3322. https://doi.org/10.1109/TIM.2009.2022384.
Molderink, A., Bakker, V., Bosman, M. G. C., et al. (2010). Management and control of domestic smart grid technology. IEEE Transactions on Smart Grid, 1(2), 109–119. https://doi.org/10.1109/tsg.2010.2055904.
Pan, M.-S., Yeh, L.-W., & Chen, Y.-A. (2008). A WSN-based intelligent light control system considering user activities and profiles. IEEE Sensors Journal, 8(10), 1710–1721. https://doi.org/10.1109/JSEN.2008.2004294.
Lu, S., Huang, Xi., & Cui, Li. (2009). Design and implementation of an ASIC-based sensor device for WSN applications. IEEE Transactions on Consumer Electronics, 55(4), 1959–1967. https://doi.org/10.1109/TCE.2009.5373756.
Meisner, D., Sadler, C. M., Barroso, L. A., Weber, W. D., & Wenisch, T. F. (2011). Power management of online data-intensive services. In 2011 38th annual international symposium on computer architecture (ISCA), San Jose, pp. 319–330. https://doi.org/https://doi.org/10.1105/2000064.2000103
Jo, J., Jo, B., Kim, J., Kim, S., & Han, W. (2020). Development of an IoT-based indoor air quality monitoring system. Journal of Sensors. https://doi.org/10.1155/2020/8749764.
Kruger, C. P., & Hancke, G. P. (2014). Implementing the Internet of Things vision in industrial wireless sensor networks. In 2014 IEEE international conference industrial and information systems, pp. 627–632. https://doi.org/https://doi.org/10.1109/INDIN.2014.6945586
Suryawanshi Shashikant, U., Dhang, Deepganga., Chougule Ashish, A., & Mote Shailendra, B. Implementation of embedded wireless air pollution monitoring system. IOSR Journal of Electronics and Communication Engineering (IOSR-JMCE) ISSN: 2278–2834-, ISBN: 2278–8735, PP: 27–30.
Yang, H., Qin, Y., Feng, G., & Ci, H. (2013). Online monitoring of geological CO2 storage and leakage based on wireless sensor networks. IEEE Sensors Journal, 13, 556–562. https://doi.org/10.1109/JSEN.2012.2223210.
Lu, C. (2017). Improving system extensibility via an IOT- interoperable platform for dynamic smart homes. In 2017 International conference on applied system innovation (ICASI), pp. 13–17 (in Japan). https://doi.org/https://doi.org/10.1109/ICASI.2017.7988138
Espressif Systems (2015). ESP8266EX Datasheet. [Online]. Available: https://cdn-shop.adafruit.com
Texas Instruments (2018) ADS1115 Data Sheet. [Online]. Available: www.ti.com
Jacko, J. A. (2011). Human-computer interaction design and development approaches. Springer (in Berlin Heidelberg).
Papadakis, S., Kalogiannakis, M., Orfanakis, V., & Zaranis, N. (2014). Novice programming environments. Scratch & App Inventor: a first comparison. In 2014 IDEE’14 Proceedings of the 2014 workshop on interaction design in educational environments 1. New York: ACM. https://doi.org/https://doi.org/10.1145/2643604.2643613
Wolber, D., Abelson, H., Spertus, E., & Looney, L. (2014). App inventor 2, 2nd edn. O’Reilly Media 362.
Meehan, D., & Sabin, M. (2013). Quiz Power: A mobile app with app inventor and XAMPP service integration. In 2013 SIGITE ’13 Proceedings of the 14th annual ACM SIGITE conference on information technology education (New York: ACM), pp. 103–108. https://doi.org/https://doi.org/10.1145/2512276.2512300
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This work is supported by SMDP-C2SD project sponsored by MeitY, Govt. of India.
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Purkayastha, K.D., Mishra, R.K., Shil, A. et al. IoT Based Design of Air Quality Monitoring System Web Server for Android Platform. Wireless Pers Commun 118, 2921–2940 (2021). https://doi.org/10.1007/s11277-021-08162-3
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DOI: https://doi.org/10.1007/s11277-021-08162-3