Parameter-Induced Stochastic Resonance in Wireless Sensor Network Signal Processing

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 121-122)
• Pages: 646-650
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.121-122.646
• Online since: June 2010
• Authors: Zi Kai Zhao, Guo Hua Hui
• Keywords: Double Well Potential Model, Noise Intensity, Signal-to-Noise Ratio (SNR), Stochastic Resonance, Systematic Parameter

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