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One of the important tasks in sensor networks is classifying moving vehicles. Fusion of large amount of sensor measurements can improve network performance and reduce the consumption of sensor network resource. We study using continuous measurements of multiple sensor nodes to improve the classification performance by spatio-temporal fusion and fault detection. Time series decisions of single sensor...
In order to analysis the propagation character of electromagnetic wave in the limited space of mine tunnel when the wireless sensor is set in different position, the electric-field intensity and magnetic-field intensity of horizontal polarization wave are obtained according to Maxwell equation and boundary condition of tunnel. The electric-field attenuation coefficient of horizontal and vertical polarization...
High dynamic range (HDR) images require a higher number of bits per color channel than traditional images. This brings about problems to storage and transmission, especially in distributed wireless sensor networks in which transmission capability and energy consumption are critical issues. The paper proposes a structure of compressing multiple dynamic range images, which is called multiple dynamic...
In this paper, we present an improvement on the discrete wavelet transform (DWT)-based feature extraction algorithm used in vehicle classification in wireless sensor networks (WSN) by providing a rule of selecting the best number of resolution levels which will improve the classification rate and reduce the energy consumption in local computation. DWT can provide time-frequency multi-resolution analysis...
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