Recognition and Localization of Harmful Acoustic Signals in Wireless Sensor Network Based on Artificial Fish Swarm Algorithm

Provided by: Journal of Theoretical and Applied Information Technology
Topic: Enterprise Software
Format: PDF
The recognition and localization of harmful acoustic signals in a certain scenario are of great importance. In this paper, the authors propose a scheme for harmful acoustic signals recognition and localization based on fish swarm algorithm for wireless sensor network. They firstly optimize the coverage where the harmful sound source can be detected efficiently. And then, they get the eigenvalue of the harmful acoustic signals by using the LPCs (Linear Prediction Coefficients). After analyzing the similarity between the eigenvalue and the data pre-stored in the data base, they can find out the harmful sound.

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