Design and Implementation of LoRa-Based Forest Fire Monitoring System
Abstract
One of the great disasters on earth is forest fires. Attempts to detect disaster events have been made with the help of monitoring technology. However, the problem is that the sensor is less responsive to detecting the presence of fire. Furthermore, sending information about fire incidents throughout the forest cannot use the existing communication platform. Therefore, we designed a forest fire monitoring system using LoRa. This technology is based on wireless which can transmit data across the forest. To detect the presence of fire, Arduino Uno is used as a microcontroller that regulates input from the AMG8833 sensor and GPS Ubox 6M. The experiment shows that the AMG8833 sensor is more sensitive in detecting the presence of fire as the catch range changes between 3 to 10 meters. In that distance range, hotspots were detected 19.25 oC to 122.5 oC when testing the sensor node is done. The monitoring system developed in this study demonstrated that sensor nodes and gateways could communicate up to 500 meters apart with a signal quality of -134 dBm. The best LoRa configuration mode for this communication capability is a Bandwidth of 250, a Code Rate of 4/5, and a Spread Factor of 10.
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E. Führer, “Forest functions, ecosystem stability and management,” For. Ecol. Manage., vol. 132, no. 1, pp. 29–38, 2000.
J. Bengtsson, S. G. Nilsson, A. Franc, and P. Menozzi, “Biodiversity, disturbances, ecosystem function and management of european forests,” For. Ecol. Manage., vol. 132, no. 1, pp. 39–50, 2000.
D. C. Steere, A. Baptista, D. McNamee, C. Pu, and J. Walpole, “Research challenges in environmental observation and forecasting systems,” Proc. Annu. Int. Conf. Mob. Comput. Networking, MOBICOM, pp. 292–299, 2000.
A. Kumar, H. Kim, and G. P. Hancke, “Environmental Monitoring Systems: A Review,” IEEE Sens. J., vol. 13, pp. 1329–1339, 2013.
C. Y. Chong and S. P. Kumar, “Sensor networks: Evolution, opportunities, and challenges,” Proc. IEEE, vol. 91, no. 8, pp. 1247–1256, 2003.
C. Arnold, M. Harms, and J. Goschnick, “Air quality monitoring and fire detection with the karlsruhe electronic micronose KAMINA,” IEEE Sens. J., vol. 2, no. 3, pp. 179–187, 2002.
X. Yunjie, “Wireless sensor monitoring system of Canadian Poplar Forests based on Internet of Things,” Artif. Life Robot., vol. 24, no. 4, pp. 471–479, 2019.
S. Kalaiarasi, S. Gautam, A. Behera, and M. Mewara, “Arduino Based Temprature and Humidity Sensor,” J. Netw. Commun. Emerg. Technol., vol. 8, no. 4, pp. 329–331, 2018.
D. A. H. Fakra, D. A. S. Andriatoavina, N. A. M. N. Razafindralambo, K. abdallah Amarillis, and J. M. M. Andriamampianina, “A simple and low-cost integrative sensor system for methane and hydrogen measurement,” Sensors Int., vol. 1, p. 100032, 2020.
S. Khan, D. Newport, and S. Le Calvé, “Gas Detection Using Portable Deep-UV Absorption,” Sensors, vol. 19, no. 23, p. 5210, 2019.
R. Q. V. P. Chandrasekharan, “Forest Fire Detection Using Temperature Sensors Powered by Tree and Auto Alarming Using GSM,” IJRSI, vol. 2, no. 3, pp. 23–28, 2015.
M. F. Othman and K. Shazali, “Wireless sensor network applications: A study in environment monitoring system,” Procedia Eng., vol. 41, pp. 1204–1210, 2012.
G. Janse, “Characteristics and challenges of forest sector communication in the EU,” Silva Fenn., vol. 41, no. 4, pp. 731–753, 2007.
R. Singh, A. Gehlot, S. Vaseem Akram, A. Kumar Thakur, D. Buddhi, and P. Kumar Das, “Forest 4.0: Digitalization of forest using the Internet of Things (IoT),” J. King Saud Univ. - Comput. Inf. Sci., 2021.
E. Villa, N. Arteaga-Marrero, and J. Ruiz-Alzola, “Performance assessment of low-cost thermal cameras for medical applications,” Sensors (Switzerland), vol. 20, no. 5, pp. 1–17, 2020.
A. P. Atmaja, A. E. Hakim, A. P. A. Wibowo, and L. A. Pratama, “Communication systems of smart agriculture based on wireless sensor networks in IoT,” J. Robot. Control, vol. 2, no. 4, pp. 297–301, 2021.
A. J. Wixted, P. Kinnaird, H. Larijani, A. Tait, A. Ahmadinia, and N. Strachan, “Evaluation of LoRa and LoRaWAN for Wireless Sensor Networks,” Rev. Bras. Ergon., vol. 9, p. 10, 2016.
A. Lavric and A. I. Petrariu, “LoRaWAN communication protocol: The new era of IoT,” 14th Int. Conf. Dev. Appl. Syst. DAS - Proc., pp. 74–77, 2018.
D. F. Carvalho, A. Depari, P. Ferrari, A. Flammini, S. Rinaldi, and E. Sisinni, “On the feasibility of mobile sensing and tracking applications based on LPWAN,” IEEE Sensors Appl. Symp. SAS - Proc., pp. 1–6, 2018.
O. Georgiou and U. Raza, “Low Power Wide Area Network Analysis: Can LoRa Scale?,” IEEE Wirel. Commun. Lett., vol. 6, no. 2, pp. 162–165, 2017.
U. Raza, P. Kulkarni, and M. Sooriyabandara, “Low Power Wide Area Networks: An Overview,” IEEE Commun. Surv. Tutorials, vol. 19, no. 2, pp. 855–873, 2017.
N. Głowacka and J. Rumiński, “Face with mask detection in thermal images using deep neural networks,” Sensors, vol. 21, no. 19, 2021.
A. Kwásniewska, J. Rumiński, and P. Rad, “Deep features class activation map for thermal face detection and tracking,” Proc. -10th Int. Conf. Hum. Syst. Interact. HSI, pp. 41–47, 2017.
M. Ivašić-Kos, M. Krišto, and M. Pobar, “Human detection in thermal imaging using YOLO,” ACM Int. Conf. Proceeding Ser., pp. 20–24, 2019.
H. D. Septama, M. Komarudin, A. Yudamson, T. Yulianti, M. Pratama, and T. P. Zuhelmi, “Low cost non-contact rapid body temperature screening using thermal camera for early detection of Covid-19 suspect,” Proceeding - Int. Symp. Electron. Smart Devices Intell. Syst. Present Futur. Challenges, ISESD, 2021.
A. Nsawotebba, I. Ibanda, I. Ssewanyana, P. Ogwok, F. Ocen, C, Okiira, A. Kagirita, D. Mujuni, D. Tugumisirize, J. Kabugo, A. Nyombi, R.K. Majwala, B.S. Bagaya, S.K. Kibuuka, W. Ssengooba, and S. Nabadda, “Effectiveness of thermal screening in detection of COVID-19 among truck drivers at Mutukula Land Point of Entry, Uganda,” PLoS One, vol. 16, no. 5 May, pp. 1–11, 2021.
T. H. Tan, T. Y. Kuo, and H. Liu, “Intelligent lecturer tracking and capturing system based on face detection and wireless sensing technology,” Sensors (Switzerland), vol. 19, no. 19, 2019.
E. A. Kadir, A. Efendi, and S. L. Rosa, “Application of LoRa WAN sensor and IoT for environmental monitoring in Riau Province Indonesia,” Int. Conf. Electr. Eng. Comput. Sci. Informatics, pp. 281–285, 2018.
Y. S. Kalinin, E. K. Velikov, and V. I. Markova, “Design of Indoor Environment Monitoring System Using Arduino,” Int. J. Innov. Sci. Mod. Eng., no. 7, pp. 2319–6386, 2015.
T. W. Hsu, S. Pare, M.S. Meena, D.K. Jain, D.L. Li, A. Saxena, M. Prasad, and C.T. Lin, “An early flame detection system based on image block threshold selection using knowledge of local and global feature analysis,” Sustain., vol. 12, no. 21, pp. 1–22, 2020.
A. Shenoy, M. Amencherla, R. Nagaraj, and T. S. Chandar, “Optick - A Low Cost Wearable Head up Display for Search and Rescue Operations,” 11th Int. Conf. Comput. Commun. Netw. Technol. ICCCNT, 2020.
M. I. Nashiruddin and S. Winalisa, “Designing LoRaWAN Internet of Things Network for Smart Manufacture in Batam Island,” 8th Int. Conf. Inf. Commun. Technol., 2020.
DOI: https://doi.org/10.18196/jrc.v3i3.14128
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