Intelligent Wireless Sensor Networks for Early Fire Warning System

Yıl 2019, , 0 - 0, 27.08.2019

Atıf Fazıl Önal Bural Ulver Alper Durusoy Burcu Erkmen

Öz

DOI: 10.26650/electrica.2019.19019

Forest and wide area fires are one of the
biggest obstacles to the protection of green areas, which are the life
guarantee for future generations. These fires, which constitute a major threat
to the ecosystem, can lead to human and animal deaths. In this work, an early
warning system was proposed to detect forest fires with wireless sensor networks.
The wireless sensor network consists of spatially distributed sensors to
analyze the situations of the environment for various scenarios. Near real-time
data from various sensors are transmitted to the server within mesh network
structure via redundant paths using low cost and low power Zigbee. The
communication in the system is continued thanks to this mesh design without any
loss of data when there is a connection break between the sensor nodes and the
beacons. Multi-layer feed forward neural networks are utilized for
decision-making stage by adopting to the conditions of the environment rhythms.
By designing a graphical user interface that works on a local machine, the
approximate location of the modules, status color codes and status visualization
with Google Maps on web server and notification of the relevant authorities are
provided. 

Cite this article as: Önal AF, Ülver B,
Durusoy A, Erkmen B. Intelligent Wireless Sensor Networks for Early Fire
Warning System. Electrica, vol. 19, DOI: 10.26650/electrica.2019.19019.

Anahtar Kelimeler

Wireless sensor networks, forest fires, feed forward neural networks, warning system, web server

Kaynakça

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• Atif Fazıl Onal: Kocasinan, Kayseri, in 1995. He recieved the B.S. degree in department of electronics and communications engineering from Yildiz Technical University in 2019. His research interests focus on computer security, techniques for network penetration tests and intrusion detection systems.
• Burak Ulver: Merkez, Kırklareli, in 1995. He recieved the B.S. degree in department of electronics and communications engineering from Yildiz Technical University in 2019. His research interests focus on machine intelligence, machine perception, algorithms and theory.
• Alper Durusoy: Karaman, Denizli, in 1995. He recieved the B.S. degree in department of electronics and communications engineering from Yildiz Technical University in 2019. His research interests focus on digital signal processing, pattern recognition and algorithms.
• Burcu Erkmen: Eskişehir, in 1978. She received the B.S., M.S., and Ph.D. degrees in electronics and communication engineering from Yildiz Technical University, Istanbul, Turkey, in 1999, 2001, and 2007, respectively. From 1999 to 2009, she was a Research Assistant in the Department of Electronics and Communications Engineering, Yildiz Technical University, where she has been an associate professor since 2014. Her current research interests include switching power supplies, Optimization Techniques in Electronic Circuits, Artificial Intelligence and Embedded Systems.