Bio-inspired evolutionary computing approach for distributed active noise control problem

Bio-inspired evolutionary computing approach for distributed active noise control problem

In this study, a distributed active noise control (DANC) system for spatial noise control in a network of acoustic sensor nodes based on the behavioural traits of felines is presented. An unified strategy based on incremental co-operative learning and cat swarm intelligence is proposed for noise mit...

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Bibliographic Details
Main Authors: Ruchi Kukde, Ganapati Panda, M. Sabarimalai Manikandan
Format: Article
Language:English
Published: Wiley 2020-03-01
Series:Cognitive Computation and Systems
Subjects:
air conditioning
particle swarm optimisation
evolutionary computation
active noise control
wireless sensor networks
genetic algorithms
interference suppression
bio-inspired evolutionary computing approach
distributed active noise control problem
distributed active noise control system
spatial noise control
acoustic sensor nodes
unified strategy
incremental co-operative learning
cat swarm intelligence
spatial region
incremental cat swarm optimisation algorithm
efficient noise
multiple secondary paths
developed icso-based danc scheme
individual sensor nodes
global noise mitigation
distributed network
tonal air conditioner noise control test scenarios
broadband air conditioner noise control test scenarios
practical air conditioner noise control test scenarios
computational efficiency
noise cancellation
different noise cases
genetic algorithm
danc counterparts
noise figure 2.0 db to 9.0 db
Online Access:https://digital-library.theiet.org/content/journals/10.1049/ccs.2019.0030

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https://digital-library.theiet.org/content/journals/10.1049/ccs.2019.0030

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