Implementation of a Wide-Area Monitoring and Fire Warning Model Using Lora Mesh

Authors

Corressponding author's email:

khoapv@hcmute.edu.vn

DOI:

https://doi.org/10.54644/jte.2025.1279

Keywords:

IoT, ESP-8266, LoRa E32, LoRa mesh, Power consumption

Abstract

LoRa technology facilitates intelligent IoT solutions that address some of the most significant issues confronting our world: the management of energy, the reduction of natural resources, the control of pollution, and the efficiency of infrastructure. This study has comprehensively constructed a LoRa network model consisting of one master device and four slave devices that perform environmental parameter sensing and fire alerting based on basic factors such as temperature, humidity, gas concentration, and fire source. Based on LoRa wireless communication technology, the study has built a network for transmitting information between multiple data collection points placed at distant locations using the LoRa E32 design. A visual interface on a web platform has been constructed so that the parameters at the measurement points can be remotely monitored. Experimental results show that the model operates stably in a real environment. In addition, the evaluation of power consumption at the measurement points with different operating modes also indicates that the model can operate stably and consume low power over a long period of time with a battery power source.

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Author Biographies

Hai-Trang Dang Phuoc, Ho Chi Minh City University of Technology and Education, Vietnam

M.Sc. Dang Phuoc Hai Trang, graduated with a Bachelor's degree in Electrical and Electronic Engineering in 2007 and a Master's degree in Electronic Engineering in 2011 from Ho Chi Minh City University of Technology and Education. He has been a lecturer in the Department of Computer Engineering and Telecommunications, Faculty of Electrical and Electronics Engineering, at Ho Chi Minh City University of Technology and Education since 2007. Areas of interest: Signal Processing, Internet of Things, IC Design. Email: trangdph@hcmute.edu.vn. ORCID: 0009-0002-4946-5477.

Tai-Tiep Nguyen, Dong Nai Technology University, Vietnam

M.Sc. Nguyen Tai Tiep, graduated with a Bachelor's degree in Computer Engineering Technology from Ho Chi Minh City University of Technology and Education in 2010. He has been a lecturer in the Faculty of Information Technology at Dong Nai University of Technology since 2011. Areas of interest: Internet of Things, Machine Learning, Embedded Systems.Email: nguyentaitiep@dntu.edu.vn. ORCID: 0009-0004-1532-2763.

Cong-Danh Phan, Ho Chi Minh City University of Technology and Education, Vietnam

B.Eng. Phan Cong Danh, graduated in 2023 from the Computer Engineering Technology program, specializing in Computer Engineering and Telecommunications, at Ho Chi Minh City University of Technology and Education. Embedded Software Engineer at Ban Vien Corporation. Areas of interest: Embedded Systems, Automotive.  Email: phandanh2112@gmail.com. ORCID: 0009-0008-5034-6209.

Nhat-Hien Nguyen, Ho Chi Minh City University of Technology and Education, Vietnam

B.Eng. Nguyen Nhat Hien, graduated in 2023 from the Computer Engineering Technology program, Department of Computer Engineering and Telecommunications, at Ho Chi Minh City University of Technology and Education. Embedded Software Engineer at Ban Vien Corporation. Areas of interest: Embedded software programming and development. Email: hiennguyenbts@gmail.com. ORCID: 0009-0005-0952-9255.

Dinh-Thanh Ngo, University of Science and Technology–University of Danang, Vietnam

Dr. Ngo Dinh Thanh graduated with a Ph.D. in 2015, specializing in Embedded Systems at the University of South Brittany. He has been a lecturer in the Department of Automation, Faculty of Electrical Engineering, at the University of Science and Technology, University of Danang, since 2004. Areas of interest: Automation, Deep Learning.

Email: tndthanh@dut.udn.vn. ORCID: 0000-0001-6063-0459.

Van-Khoa Pham, Ho Chi Minh City University of Technology and Education, Vietnam

Dr. Pham Van Khoa received his B.S. and M. S. E. E. degrees in Computer Technology and Electronics Engineering from the University of Technology and Education, HCM City, Vietnam, in 2010 and 2014, respectively. In 2019, he obtained his Ph.D. in Electronics Engineering from Kookmin University (K.M.U.) in Seoul, Korea. In 2010, he joined the Integrated Circuit Design Research and Education Center (I.C.D.R.E.C.), contributing to developing VN8-01 MCU, the first commercially designed and fabricated microcontroller in Vietnam. From May 2011 to 2021, he was a member of the Faculty of Electrical and Electronics Engineering at Technology and Education, HCM City, Vietnam (H.C.M.U.T.E.), and currently holds the position of senior lecturer in the Department of Computer and Communication Engineering. Presently, he serves as the Head of Computer Technology Engineering at the Faculty of International Education, H.C.M.U.T.E. His research interests encompass low-power VLSI, memory design, Internet-of-Things (IoT) and power I.C. design. He has published research papers in a variety of prestigious journals, conferences, such as, Electronics Letters, IEEE Transactions on Nanotechnology, Journal of Semiconductor Technology and Science, Micromachines, International Journal of Computing, Indonesian Journal of Electrical Engineering and Computer Science, IEEE International Symposium on Circuits and Systems (ISCAS). Email: khoapv@hcmute.edu.vn. ORCID: 0000-0002-6129-5856.

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Published

28-05-2025

How to Cite

Đặng Phước Hải Trang, Nguyễn Tài Tiệp, Phan Công Danh, Nguyễn Nhật Hiên, Ngô Đình Thanh, & Phạm Văn Khoa. (2025). Implementation of a Wide-Area Monitoring and Fire Warning Model Using Lora Mesh. Journal of Technical Education Science, 20(02(V), 1–11. https://doi.org/10.54644/jte.2025.1279