Wireless Sensor Network Performance Analysis for Indoor Air Quality Monitoring
Keywords:
Performance; Quality Monitoring; Wireless Sensor NetworkAbstract
Air pollution involves physical, chemical, and biological substances that can harm health and cause disease in living beings. Therefore, understanding air quality is very important. This research aims to design and develop a prototype of a web-based air quality monitoring system using Wireless Sensor Network (WSN) technology. Communication between the client and the server uses WebSocket.io protocols to reduce latency in the network. The system design is divided into two parts: the design of the server hardware and software, the microcontroller, as well as the user client interface. The study involves evaluating key performance metrics such as data reliability, latency, and power efficiency. Various sensor nodes are used to measure parameters including temperature, humidity, volatile organic compounds (VOCs), and particulate matter (PM). The nodes communicate with the central coordinator nodes, forming a mesh network topology to ensure reliable data transmission and coverage. The results of the performance analysis demonstrate the effectiveness of WSN in providing accurate and timely indoor air quality (IAQ) data. Challenges such as signal interference and node placement optimization are addressed to improve network reliability and coverage. The insights gained from this study contribute to the development of a more efficient IAQ monitoring system, encourage a healthier indoor environment and improve overall well-being.
References
Fitriawan, H., Arifin, A. S., Mausa, D., & Trisanto, A. (2015). Performance measurement of ZigBee based wireless sensor networks. FORTEI National Seminar, Pontianak.
Karl, H., & Willig, A. (2005). Protocols and architectures for wireless sensor networks. John Wiley & Sons.
Hamdani, F. (2010). Modeling and simulation of the Micaz Mote wireless sensor network based on the IEEE 802.15.4 standard [Unpublished undergraduate thesis or internal document, if available].
Artanto, D. (2012). Interaction of Arduino and LabVIEW. Grammar.
Djuandi, F. (2018, October 10). Introduction to Arduino. To Book. http://www.tobuku.com
Texas Instruments. (2018, October 11). LM35DZ datasheet. http://www.itisravenna.gov.it/sheet/lm35dz.pdf
Ahamed, S. S. R. (2005). The role of ZigBee technology in future data communication systems. Sathak Institute of Technology.
Kinney, P. (2003). ZigBee technology: Wireless control that simply works. Communications Design Conference.
Digi International Inc. (2018, October 13). XBee/XBee-Pro ZB RF modules product manual. http://www.digi.com
Faludi, R. (2011). Building wireless sensor networks. O'Reilly Media.
Alawi, R. A. (2011). RSSI based location estimation in wireless sensor network. IEEE Conference Proceedings, University of Bahrain, Bahrain.
Seong-ro, R. (2013). Performance analysis of XBee ZB module based wireless sensor networks. International Journal of Scientific & Engineering Research (IJSER), 4(5), 1159–1163.
Farahani, S. (2008). ZigBee wireless networks and transceivers. Newnes, Elsevier.
Anisah, S., Tharo, Z., Hamdani, H., & Butar, A. K. B. (2023). Optimization Analysis Of Solar And Wind Power Hybrid Power Plant Systems. Proceedings of Dharmawangsa University, 3(1), 614-624.
Hamdani, H., Sastra, A., & Firmansyah, D. (2023). Study on the Construction of a Smart Goods Elevator with a Capacity of 50 Kg with a Solar Power Plant (PLTS). INTECOMS: Journal of Information Technology and Computer Science, 6(1), 429-433.
Hamdani, H., Tharo, Z., Anisah, S., & Lubis, S. A. (2020, September). Design and build a modified sine wave inverter on a solar power plant for residential homes. In Proceedings of the National Seminar on Engineering UISU (SEMNASTEK) (Vol. 3, No. 1, pp. 156-162).
Tharo, Z., Hamdani, H., Andriana, M., & Yusar, J. H. (2022). Implementation of an environmentally friendly generator set based on solar panels in Tomuan Holbung Village. Journal of Higher Education Lecturer Service (Deputy Journal), 2(2), 98-101.
Rahmaniar, R., Khairul, K., Junaidi, A., & Sari, D. K. (2023). Model and Analysis of Photovoltaic Modules with Irradiation and Temperature Variations using Simulation Technology. Procedia of Engineering and Life Sciences, 4.
Wibowo, P., Lubis, S. A., & Hamdani, Z. T. (2017). Smart home security system design sensor based on pir and microcontroller. International Journal of Global Sustainability, 1(1), 67-73.
Yusup, M. (2022). Radio Frequency Identification (RFID) technology as an automatic door opening tool in a smart house. Journal of Infotama Media, 18(2), 367-373.
International Conferance Of Digital Sciences And Engineering Technology , Education and Science, its website, and the articles published therein are licensed under a 
