Parameter-Induced Stochastic Resonance in Wireless Sensor Network Signal Processing

Abstract:

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Parameter-induced stochastic resonance (PSR) using double potential well model was focused in this paper. Based on the former stochastic resonance study, system parameter µ was used to explore the resonance characteristics. A bluetooth-based wireless sensor network (WSN) was adopted to obtain the experimental data for parameter-induced stochastic resonance simulating. Under fixed noise intensity range, the changes of system parameter µ led to a systematic output resonance. Simulating results demonstrated that the systematic parameter µ could lead to stochastic resonance at signal processing level.

Info:

Periodical:

Advanced Materials Research (Volumes 121-122)

Edited by:

Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo

Pages:

646-650

DOI:

10.4028/www.scientific.net/AMR.121-122.646

Citation:

Z. K. Zhao and G. H. Hui, "Parameter-Induced Stochastic Resonance in Wireless Sensor Network Signal Processing", Advanced Materials Research, Vols. 121-122, pp. 646-650, 2010

Online since:

June 2010

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Price:

$35.00

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