TY  - JOUR
T1  - Intelligent Wireless Sensor Networks for Early Fire Warning System
AU  - Erkmen, Burcu
AU  - Önal, Atıf Fazıl
AU  - Ulver, Bural
AU  - Durusoy, Alper
PY  - 2019
DA  - August
JF  - Electrica
PB  - İstanbul University-Cerrahpasa
WT  - DergiPark
SN  - 2619-9831
SP  - 0
EP  - 0
LA  - en
AB  - DOI: 10.26650/electrica.2019.19019Forest and wide area fires are one of thebiggest obstacles to the protection of green areas, which are the lifeguarantee for future generations. These fires, which constitute a major threatto the ecosystem, can lead to human and animal deaths. In this work, an earlywarning system was proposed to detect forest fires with wireless sensor networks.The wireless sensor network consists of spatially distributed sensors toanalyze the situations of the environment for various scenarios. Near real-timedata from various sensors are transmitted to the server within mesh networkstructure via redundant paths using low cost and low power Zigbee. Thecommunication in the system is continued thanks to this mesh design without anyloss of data when there is a connection break between the sensor nodes and thebeacons. Multi-layer feed forward neural networks are utilized fordecision-making stage by adopting to the conditions of the environment rhythms.By designing a graphical user interface that works on a local machine, theapproximate location of the modules, status color codes and status visualizationwith Google Maps on web server and notification of the relevant authorities areprovided. Cite this article as: Önal AF, Ülver B,Durusoy A, Erkmen B. Intelligent Wireless Sensor Networks for Early FireWarning System. Electrica, vol. 19, DOI: 10.26650/electrica.2019.19019.
KW  - Wireless sensor networks
KW  - forest fires
KW  - feed forward neural networks
KW  - warning system
KW  - web server
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CR  - 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.
CR  - 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.
CR  - 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.
CR  - 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.
UR  - https://dergipark.org.tr/en/pub/electrica/issue//605534
L1  - https://dergipark.org.tr/en/download/article-file/785266
ER  -