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Swarm Optimization for Energy-Based Acoustic Source Localization: A Comprehensive Study.

João Fé1,2, Sérgio D Correia1,2, Slavisa Tomic1

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This summary is machine-generated.

This study comprehensively evaluates swarm-based optimization algorithms for energy-based acoustic localization. Promising methods were identified, demonstrating accurate acoustic source localization with low latency for edge computing.

Keywords:
acoustic localizationedge computingembedded programmingmetaheuristicswarm optimizationwireless sensor network

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Area of Science:

  • Computational Intelligence
  • Acoustic Signal Processing
  • Optimization Algorithms

Background:

  • Swarm-based optimization algorithms are increasingly applied across various fields.
  • Existing research primarily uses high-level languages and classical benchmark functions.
  • The application of swarm intelligence to energy-based acoustic localization remains underexplored.

Purpose of the Study:

  • To conduct the first comprehensive study of swarm-based optimization algorithms for energy-based acoustic localization.
  • To compare algorithm convergence performance and identify novel methods.
  • To assess the impact of intelligent swarm initialization and analyze time efficiency on embedded systems.

Main Methods:

  • 10 different swarm-based optimization algorithms were simulated.
  • Performance was evaluated based on convergence speed and accuracy.
  • Implementation in low-level languages and execution on embedded processors were analyzed.

Main Results:

  • Several swarm-based algorithms show high potential for acoustic source localization.
  • Intelligent swarm initialization significantly impacts convergence speed.
  • Methods demonstrate accurate localization with low latency and bandwidth requirements.

Conclusions:

  • Swarm-based optimization algorithms are effective for energy-based acoustic localization.
  • These methods are suitable for edge computing due to efficiency and low resource demands.
  • Further research into swarm intelligence for acoustic sensing is warranted.