Prototype for Forest Fire Early Detection System Using the MQTT Method

  • Frisca Tryandayani Simanjuntak Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia
  • Abdullah Sani Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia
  • Hana Mutialif Maulidiah Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia
  • Widya Rika Puspita Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia
  • Budiana Budiana Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia

Abstract

The case of forest fires in Batam is one of the natural disasters that often occurs both caused by nature and human error. These forest fires certainly damage forest ecosystems. The condition of the vast forest makes it difficult to monitor the condition of the forest to find the location of the fire. In this study, the authors designed a forest fire early detection system using the concept of Wireless Sensor Network. The system is designed using the MQTT protocol in its data transmission communications. MQTT is a communication protocol that uses the concept of publish-subscribe. Fire information sent by telegram. It is hoped that with this research, it will be able to detect early fires that occur in the forest and be able to become an initial concept for further development. From the test results, it was found that the MQTT protocol sends data well, with subscribers using QoS 0 services having an average delay of 0.050 s, an average throughput of 31355 bps and packet loss of 0%. Subscribers who use QoS 1 services have an average delay of 0.064 s, an average throuhput of 30683 bps, and a packet loss of 0%. The system is able to send information notifications to telegram well.

Keywords: Forest Fires, Wireless Sensor Network, MQTT, and Sensor Node

Downloads

Download data is not yet available.

Author Biographies

Frisca Tryandayani Simanjuntak, Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia

Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia

Abdullah Sani, Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia

Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia

Hana Mutialif Maulidiah, Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia

Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia

Widya Rika Puspita, Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia

Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia

Budiana Budiana, Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia

Jurusan Teknik Elektro, Politeknik Negeri Batam, Batam, Indonesia

References

“InfoPublik - Luas Kawasan Hutan Indonesia 125,9 Juta Hektare.” https://www.infopublik.id/read/259865/luas-kawasan-hutan-indonesia-1259-juta-hektare-.html (accessed Aug. 11, 2023).

R. B. Edwards, R. L. Naylor, M. M. Higgins, and W. P. Falcon, “Causes of Indonesia’s forest fires,” World Dev, vol. 127, p. 104717, Mar. 2020, doi: 10.1016/J.WORLDDEV.2019.104717.

K. Prasad Vadrevu et al., “Forest fires and management efforts in Indonesia (a review),” IOP Conf Ser Earth Environ Sci, vol. 504, no. 1, p. 012013, May 2020, doi: 10.1088/1755-1315/504/1/012013.

I. Cobelo et al., “The impact of wildfires on air pollution and health across land use categories in Brazil over a 16-year period,” Environ Res, vol. 224, p. 115522, May 2023, doi: 10.1016/J.ENVRES.2023.115522.

R. Libonati et al., “The Effect of Forest Fire Events on Air Quality: A Case Study of Northern Colombia,” Fire 2022, Vol. 5, Page 191, vol. 5, no. 6, p. 191, Nov. 2022, doi: 10.3390/FIRE5060191.

N. Varela, J. L. Díaz-Martinez, A. Ospino, and N. A. L. Zelaya, “Wireless sensor network for forest fire detection,” Procedia Comput Sci, vol. 175, pp. 435–440, Jan. 2020, doi: 10.1016/J.PROCS.2020.07.061.

L. Yu, N. Wang, and X. Meng, “Real-time Forest fire detection with wireless sensor networks,” Proceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005, vol. 2, pp. 1214–1217, 2005, doi: 10.1109/WCNM.2005.1544272.

G. Zheng, L. Zhang, and J. Li, “An Energy Supply System for Wireless Sensor Network Nodes,” http://dx.doi.org/10.1155/2012/603709, vol. 2012, May 2012, doi: 10.1155/2012/603709.

N. Hendrarini, M. Asvial, and R. F. Sari, “Wireless Sensor Networks Optimization with Localization-Based Clustering using Game Theory Algorithm,” International Journal of Technology, vol. 13, no. 1, pp. 213–224, 2022, doi: 10.14716/IJTECH.V13I1.4850.

M. Ragnoli et al., “LoRa-Based Wireless Sensor Network System for Aquatic Elements and Flood Early Warning Monitoring,” Lecture Notes in Electrical Engineering, vol. 999, pp. 124–128, 2023, doi: 10.1007/978-3-031-25706-3_20/COVER.

K. P. Kamble, “LoRa Communication based Wireless Sensor Monitoring system,” International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022 - Proceedings, pp. 1127–1131, 2022, doi: 10.1109/ICSCDS53736.2022.9760796.

F. Z. Rachman et al., “Design of the early fire detection based fuzzy logic using multisensor,” IOP Conf Ser Mater Sci Eng, vol. 732, no. 1, p. 012039, Jan. 2020, doi: 10.1088/1757-899X/732/1/012039.

B. Sarwar, I. S. Bajwa, S. Ramzan, B. Ramzan, and M. Kausar, “Design and Application of Fuzzy Logic Based Fire Monitoring and Warning Systems for Smart Buildings,” Symmetry 2018, Vol. 10, Page 615, vol. 10, no. 11, p. 615, Nov. 2018, doi: 10.3390/SYM10110615.

A. Zohourian et al., “IoT Zigbee device security: A comprehensive review,” Internet of Things, vol. 22, p. 100791, Jul. 2023, doi: 10.1016/J.IOT.2023.100791.

V. D. Gavra and O. A. Pop, “Usage of ZigBee and LoRa wireless technologies in IoT systems,” 2020 IEEE 26th International Symposium for Design and Technology in Electronic Packaging, SIITME 2020 - Conference Proceedings, pp. 221–224, Oct. 2020, doi: 10.1109/SIITME50350.2020.9292150.

A. Allakany, A. Saber, S. M. Mostafa, M. Alsabaan, M. I. Ibrahem, and H. Elwahsh, “Enhancing Security in ZigBee Wireless Sensor Networks: A New Approach and Mutual Authentication Scheme for D2D Communication,” Sensors 2023, Vol. 23, Page 5703, vol. 23, no. 12, p. 5703, Jun. 2023, doi: 10.3390/S23125703.

R. Herrero, “RTP transport in IoT MQTT topologies,” Internet of Things and Cyber-Physical Systems, vol. 3, pp. 37–44, Jan. 2023, doi: 10.1016/J.IOTCPS.2023.02.001.

Z. Kegenbekov and A. Saparova, “Using the MQTT Protocol to Transmit Vehicle Telemetry Data,” Transportation Research Procedia, vol. 61, pp. 410–417, Jan. 2022, doi: 10.1016/J.TRPRO.2022.01.067.

Published
2024-06-24
How to Cite
Simanjuntak, F., Sani, A., Maulidiah, H., Puspita, W., & Budiana, B. (2024). Prototype for Forest Fire Early Detection System Using the MQTT Method. Journal of Applied Electrical Engineering, 8(1), 24-31. https://doi.org/10.30871/jaee.v8i1.7544
Section
Manuscripts