Real-time Forest Fire Detection with Wireless Sensor Networks

摘要：

In this paper, we propose a wireless sensor network paradigm for real-time forest fire detection. The wireless sensor network can detect and forecast forest fire more promptly than the traditional satellite-based detection approach. This paper mainly describes the data collecting and processing in wireless sensor networks for real-time forest fire detection. A neural network method is applied to in-network data processing. We evaluate the performance of our approach by simulations.

关键词： wireless sensor networks neural network

作者: Liyang Yu Neng Wang Xiaoqiao Meng

作者单位: Dept.of Computer Science and Technology East China Normal University Shanghai, China Dept.of Computer Science University of California, Los Angeles Los Angeles, U.S.A.

会议类型: 国际会议

会议名称: 2005年无线通信、网络和移动计算国际会议

会议地点: 武汉

会议语种:英文

页码: 1214-1217

在线出版日期: 2005-09-23（万方平台首次上网日期，不代表论文的发表时间）