This paper proposes a wildfire monitoring and detection system based on wireless
sensor network. This system detects fire by monitoring surrounding temperature,
humidity and smoke. Once fire is detected, a warning message containing
probable location of that fire is immediately sent to the responsible
authority over cellular network. In order for the system to be more effective,
communities living near forests or national parks can send warning messages
through the same system to the responsible authority using their mobile
handsets once they witness wildfire or illegal activities. For the system to be
fully functional, the only requirement is the availability of cellular network
coverage in forests or national parks to enable short message services to take
place. The system prototype is developed using Arduino microcontroller, several
sensors to detect temperature, relative humidity and smoke as well as
wireless network connection modules. At the control center Telerivet messaging
platform is used to design the messaging service. The experimental results
justify the capability of the proposed system in detecting wildfire in real
time.
References
[1]
Alkhatib, A.A.A. (2014) A Review on Forest Fire Detection Techniques. International Journal of Distributed Sensor Networks, 2014, Article ID: 597368.
https://doi.org/10.1155/2014/597368
[2]
Vicente, F.B., Carbajal, N., Felipe, L. and Martínez, P. (2014) Estimation of Total Yearly CO2 Emissions by Wildfires in Mexico during the Period 1999-2010. Advances in Meteorology, 2014, Article ID: 958457.
[3]
Zhao, Y., Zhou, Z. and Xu, M. (2015) Forest Fire Smoke Video Detection Using Spatiotemporal and Dynamic Texture Features. Journal of Electrical and Computer Engineering, 2015, Article ID: 706187. https://doi.org/10.1155/2015/706187
[4]
Rücker, G. and Tiemann, J. (2012) Project Report?: Eleven Years of MODIS Burned Area?: A GIS Analysis for the Territory of the United Republic of Tanzania.
[5]
FAO (2013) A Fire Baseline Report for Tanzania.
[6]
Bolourchi, P. and Uysal, S. (2013) Forest Fire Detection in Wireless Sensor Network Using Fuzzy Logic. 5th International Conference on Computational Intelligence, Communication Systems and Networks, Madrid, 5-7 June 2013, 83-87.
[7]
Lloret, J., Garcia, M., Bri, D. and Sendra, S. (2009) A Wireless Sensor Network Deployment for Rural and Forest Fire Detection and Verification. Sensors, 9, 8722- 8747. https://doi.org/10.3390/s91108722
[8]
Molina-Pico, A., Cuesta-Frau, D., Araujo, A., Alejandre, J. and Rozas, A. (2016) Forest Monitoring and Wildland Early Fire Detection by a Hierarchical Wireless Sensor Network. Journal of Sensors, 2016, Article ID: 8325845.
https://doi.org/10.1155/2016/8325845
[9]
Wang, M., Liu, H., Chen, F. and Liu, J. (2015) Forest Fire Warning System Based on GIS and WSNs. 4th International Conference on Advanced Information Technology and Sensor Application, 21-23 August 2015, Harbin, 3-6.
https://doi.org/10.1109/AITS.2015.8
[10]
Chauhan, A., Semwal, S. and Chawhan, R. (2013) Artificial Neural Network-Based Forest Fire Detection System Using Wireless Sensor Network. India Conference, Mumbai, 13-15 December 2013, 1-6.
https://doi.org/10.1109/INDCON.2013.6725913
[11]
Zhang, J., Li, W., Han, N. and Kan, J. (2008) Forest Fire Detection System Based on a ZigBee Wireless Sensor Network. Frontiers of Forestry in China, 3, 369-374.
https://doi.org/10.1007/s11461-008-0054-3
[12]
Hefeeda, M. and Bagheri, M. (2009) Forest Fire Modeling and Early Detection. Ad Hoc & Sensor Wireless Networks, 7, 169-224.
[13]
Owayjan, M., Freiha, G., Achkar, R., Abdo, E. and Mallah, S. (2014) Firoxio: Forest Fire Detection and Alerting System. 17th IEEE Mediterranean Electrotechnical Conference, Beirut, 13-16 April 2014, 177-181.
https://doi.org/10.1109/MELCON.2014.6820527
[14]
Banzi, M. (2009) Getting Started with Arduino. O’Reilly Media, Inc., Sebastopol.
[15]
Faludi, R. (2011) Building Wireless Sensor Networks. O’Reilly Media, Inc., Sebastopol.