Vehicle classification in wireless sensor networks based on rough neural network

Authors:
Huang Qi;Xing Tao;Liu Hai Tao
Affiliations:
Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui, China and Shanghai Institute of Microsystem and Information Technology, Shanghai, China;Shanghai Institute of Microsystem and Information Technology, Shanghai, China;Shanghai Institute of Microsystem and Information Technology, Shanghai, China
Venue:
ACST'06 Proceedings of the 2nd IASTED international conference on Advances in computer science and technology
Year:
2006

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Abstract

In this paper, a novel recognition system based on rough neural network is presented for the application of vehicle classification in wireless sensor network. The proposed system is evaluated using real-world signal datasets as well as two conventional methods. Compared with them, approach based on rough neural network achieves high performance improvement. Furthermore, the purposed system is extended for multi-channel sensor data fusion directly. Since the experiment results are attractive, algorithm based on rough neural network is believed to have potential for applications of recognition and data fusion in wireless sensor networks.