ZTE

ZTE Communications ›› 2015, Vol. 13 ›› Issue (2): 12-16.doi: 10.3969/j.issn.1673-5188.2015.02.003

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Forest Fire Detection Using Artificial Neural Network Algorithm Implemented in Wireless Sensor Networks

Yongsheng Liu1, Yansong Yang1, Chang Liu1, Yu Gu2   

  1. 1. Network Technology Research Institute, China United Network Communications Corporation Limited, Beijing 100048, China;
    1. Department of Computer Science, Hefei University of Technology, Hefei 230009, China
  • Received:2015-04-22 Online:2015-06-25 Published:2015-06-25
  • About author:Yongsheng Liu (liuys170@chinaunicom.cn) is an engineer at the Network Technology Research Institute, China Unicom. His research interests include network security, wireless sensor networks, and IP and bearer technology. He is also a member of China Communications Standards Association (CCSA) and has proposed some drafts related to Multiprotocol Label Switching (MPLS) and Internet service quality.
    Yansong Yang (yangys30@chinaunicom.cn) is head of the IP and Bearer Technology Division at the Network Technology Research Institute of China Unicom. He has been engaged design and consultation for the IP network for many years.
    Chang Liu (liuc131@chinaunicom.cn) works at the Network Technology Research Institute of China Unicom. His current research interests are network modeling and IP and bearer technology.
    Yu Gu (yugu.bruce@gmail.com) received the BEng and PhD degrees from the University of Science and Technology of China in 2004 and 2010. From February 2006 to August 2006, he interned at the Wireless Network Group, Microsoft Research Asia, Beijing. From 2007 to 2008, he was a visiting scholar in the Department of Computer Science, University of Tsukuba, Japan. From 2010 to 2012, he was a JSPS Reseaech Fellow in the National Institute of Informatics, Japan. He is now a professor in the School of Computer and Information, Hefei University of Technology, China. His research interests include information science, pervasive computing, and wireless networking, especially wireless sensor network.

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Abstract: A forest fire is a severe threat to forest resources and human life. In this paper, we propose a forest-fire detection system that has an artificial neural network algorithm implemented in a wireless sensor network (WSN). The proposed detection system mitigates the threat of forest fires by provide accurate fire alarm with low maintenance cost. The accuracy is increased by the novel multicriteria detection, referred to as an alarm decision depends on multiple attributes of a forest fire. The multi-criteria detection is implemented by the artificial neural network algorithm. Meanwhile, we have developed a prototype of the proposed system consisting of the solar batter module, the fire detection module and the user interface module.

Key words: forest fire detection, artificial neural network, wireless sensor network