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Related Concept Videos

Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

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In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
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Acoustic Comfort Prediction: Integrating Sound Event Detection and Noise Levels from a Wireless Acoustic Sensor Network.

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Sons al Balcó: A Comparative Analysis of WASN-Based <i>L</i> Measured Values with Perceptual Questionnaires in Barcelona during the COVID-19 Lockdown.

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Analysis and Acoustic Event Classification of Environmental Data Collected in a Citizen Science Project.

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Multilabel Acoustic Event Classification Using Real-World Urban Data and Physical Redundancy of Sensors.

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Related Experiment Video

Updated: Aug 27, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Edge-Computing Meshed Wireless Acoustic Sensor Network for Indoor Sound Monitoring.

Selene Caro-Via1, Ester Vidaña-Vila1, Gerardo José Ginovart-Panisello1

  • 1GTM-Grup de Recerca en Tecnologies Mèdia, La Salle-Ramon Llull University, 08022 Barcelona, Spain.

Sensors (Basel, Switzerland)
|September 23, 2022
PubMed
Summary

This study introduces a low-cost wireless acoustic sensor network (WASN) for monitoring indoor environments. The system uses edge computing for privacy and enables real-time, non-invasive tracking of inhabitant behavior.

Keywords:
Raspberry Piacoustic qualityacoustic signal processinglow-cost sensormeshed networkreal-time signal processingwireless acoustic sensor network

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Ambient Assisted Living

Background:

  • Monitoring indoor environments for inhabitant behavior is crucial for applications like ambient assisted living.
  • Existing solutions often face challenges with cost, privacy, and coverage.
  • There is a need for flexible, low-cost, and non-invasive sensing technologies.

Purpose of the Study:

  • To design and present a Wireless Acoustic Sensor Network (WASN) for comprehensive indoor space monitoring.
  • To develop a system prioritizing low cost, acoustic quality, and robust node connectivity.
  • To explore sensor placement strategies for optimal acoustic coverage in diverse indoor settings.

Main Methods:

  • Utilizing an omnidirectional microphone and a computation unit per node for local acoustic data processing (edge computing).
  • Implementing a flexible, low-cost sensor design capable of monitoring wide indoor areas.
  • Investigating acoustic coverage criteria for strategic sensor placement in real-world scenarios.

Main Results:

  • The proposed WASN offers a balance between acoustic quality and microphone cost.
  • Edge computing implementation enhances privacy and connectivity by processing data locally.
  • The network design facilitates increased connectivity coverage through inter-node communication.

Conclusions:

  • The developed WASN provides a cost-effective, non-invasive solution for real-time behavioral and environmental monitoring.
  • This technology has potential applications in generating sound maps and acoustic event detection.
  • The system is adaptable for various indoor environments, including homes, hospitals, and universities, with a focus on assisted living.