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In this paper, chaos theory is applied to study the traffic behavior of wireless sensor networks (WSN). Through reconstruction of phase space and calculation of maximum Lyapunov exponent, we find that WSN traffic is chaotic, and different topologies of WSN could cause a little variation on embedded dimensions and maximum Lyapunov exponents, but doesn't change chaotic characteristics of traffic in...
In this paper, nonlinear chaos theory and wavelet transform are applied in modeling and forecasting traffic of wireless sensor network (WSN). Wavelet-weighted local model of chaotic prediction not only takes the advantages of lower and more determinism in chaos theory, but also the advantages of unique multi-resolution analysis in wavelet transform, which can be used to generate a rich set of prediction...
Probability density function (PDF) method is proposed for analysing the structure of the reconstructed attractor in computing the correlation dimensions of RR intervals of ten normal old men. PDF contains important information about the spatial distribution of the phase points in the reconstructed attractor. To the best of our knowledge, it is the first time that the PDF method is put forward for...
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