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The task of classifying the types of moving vehicles in a distributed, wireless sensor network is investigated. Specifically, based on an extensive real world experiment, we have compiled a dataset that consists of 820 MByte raw time series data, 70 MByte of pre-processed, extracted spectral feature vectors, and baseline classification results using the(More)
A novel sensor network source localization method based on acoustic energy measurements is presented. This method makes use of the characteristics that the acoustic energy decays exponentially with respect to distance from the source. By comparing energy readings measured at surrounding acoustic sensors within the same time interval, the source location(More)
N etworks of small, densely distributed wireless sensor nodes are being envisioned and developed for a variety of applications involving monitoring and manipulation of the physical world in a tetherless fashion [1], [16], [17], [22], [23]. Typically, each individual node can sense in multiple modalities but has limited communication and computation(More)
A novel source localization approach using acoustic energy measurements from the individual sensors in the sensor field is presented. This new approach is based on the acoustic energy decay model that acoustic energy decays inverse of distance square under the conditions that the sound propagates in the free and homogenous space and the targets are(More)
Target classification fusion problem in a distributed, wireless sensor network is investigated. We propose a distance-based decision fusion scheme exploiting the relationship between sensor to target distance, signal to noise ratio and classification rate, which requires less communication while achieving higher region classification rate when compared to(More)
CORDIC (Coordinate Rotation DIgital Computer) is an iterative arithmetic algorithm for computing generalized vector rotations without performing multiplications. For applications where the angle of rotation is known in advance, we shall present in this paper a method to speedup the execution of the CORDIC algorithm by reducing the total number of(More)
Two novel distributed particle filters with Gaussian Mixer approximation are proposed to localize and track multiple moving targets in a wireless sensor network. The distributed particle filters run on a set of uncorrelated sensor cliques that are dynamically organized based on moving target trajectories. These two algorithms differ in how the distributive(More)
An efficient and accurate statistical static timing analysis (SSTA) algorithm is reported in this paper, which features 1) a conditional linear approximation method of the MAX/MIN timing operator, 2) an extended canonical representation of correlated timing variables, and 3) a variation pruning method that facilitates intelligent tradeoff between simulation(More)