Vehicle Classification in Wireless Sensor Networks Based on Rough Neural Network

  • Qi Huang
  • Tao Xing
  • Hai Tao Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)


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, an algorithm based on rough neural network is believed to have potential for applications of recognition and data fusion in wireless sensor networks.


Wireless Sensor Network Gaussian Mixture Model Back Propagation Neural Network Hide Layer Neuron Microphone Array 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Qi Huang
    • 1
    • 2
  • Tao Xing
    • 2
  • Hai Tao Liu
    • 2
  1. 1.Department of Modern PhysicsUniversity of Science and Technology of ChinaHefeiChina
  2. 2.Shanghai Institute of Microsystems and Information TechnologyShanghaiChina

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