On the ability of consumer electronics microphones for environmental noise monitoring

Renterghem, Timothy Van; Thomas, Pieter; Dominguez, Frederico; Dauwe, Samuel; Touhafi, Abdellah; Dhoedt, Bart; Botteldooren, Dick

doi:10.1039/c0em00532k

Cited by 45 publications

(61 citation statements)

References 10 publications

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“…The high-precision nodes then serve to calibrate the less expensive devices, while the latter are able to monitor spatial variation. It was shown in [14] that some low-cost microphones (used in consumer electronics) can be accurate for environmental noise monitoring.…”

Section: Use Casementioning

confidence: 99%

“…Only the agent with the maximum load will be selected for task splitting. The next step is to divide the sensor list in two (lines [12][13][14] and assign one part locally and the other to a clone. To avoid the presence of too many agents on one machine, there is first a check (line 18) on the number of clones n ao and total agents n A .…”

Section: Task Throughput Optimizationmentioning

confidence: 99%

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Multiagent-Based Data Fusion in Environmental Monitoring Networks

Dauwe

Renterghem

Botteldooren

et al. 2012

International Journal of Distributed Sensor Networks

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Advances in embedded systems and mobile communication have led to the emergence of smaller, cheaper, and more intelligent sensing units. As of today, these devices have been used in many sensor network applications focused at monitoring environmental parameters in areas with relative large geographical extent. However, in many of these applications, management is often centralized and hierarchical. This approach imposes some major challenges in the context of large-scale and highly distributed sensor networks. In this paper, we present a multilayered, middleware platform for sensor networks offering transparent data aggregation, control, and management mechanisms to the application developer. Furthermore, we propose the use of multiagent systems (MASs) to create a computing environment capable of managing and optimizing tasks autonomously. In order to ensure the scalability of the distributed data fusion, we propose a three-step procedure to balance the workload among machines using mobile agent technology.

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Section: Use Casementioning

confidence: 99%

Section: Task Throughput Optimizationmentioning

confidence: 99%

Multiagent-Based Data Fusion in Environmental Monitoring Networks

Dauwe

Renterghem

Botteldooren

et al. 2012

International Journal of Distributed Sensor Networks

Self Cite

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“…inaccuracies in traffic data. Also the measurement error should be mentioned, which is expected to be below 2 dBA for road traffic dominated environmental noise exposure [30].…”

Section: Comparison With Measurementmentioning

confidence: 99%

“…An inner city noise measurement network in Ghent (Belgium) with microphone nodes [30] placed at both shielded and directly exposed locations is used as a first validation of the current engineering model. At these locations, road traffic noise was the main source of environmental noise exposure.…”

Section: Comparison With Measurementmentioning

confidence: 99%

Urban Background Noise Mapping: The General Model

Wang¹,

Botteldooren²,

Renterghem³

et al. 2014

Acta Acustica united with Acustica

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Surveys show that inhabitants of dwellings exposed to high noise levels benefit from having access to a quiet side. However, current practice in noise prediction often underestimates the noise levels at a shielded façade. Multiple reflections between façades in street canyons and inner yards are commonly neglected and façades are approximated as perfectly flat surfaces yielding only specular reflection. In addition, sources at distances much larger than normally taken into account in noise maps might still contribute significantly. Since one of the main reasons for this is computational burden, an efficient engineering model for the diffraction of the sound over the roof tops is proposed, which considers multiple reflections, variation in building height, canyon width, façade roughness and different roof shapes. The model is fitted on an extensive set of full-wave numerical calculations of canyon-to-canyon sound propagation with configurations matching the distribution of streets and building geometries in a typical historically grown European city. This model allows calculating the background noise in the shielded areas of a city, which could then efficiently be used to improve existing noise mapping calculations. The model was validated by comparison to long-term measurements at 9 building façades whereof 3 were at inner yards in the city of Ghent, Belgium. At shielded façades, a strong improvement in prediction accuracy is obtained.

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“…Consumer electronics microphones come at a very low-cost, and were shown to be quite accurate for environmental noise monitoring [4]. The underlying idea is that modifications in traffic situations (formation of a congestion, increase of number of trucks, etc.…”

Section: Introductionmentioning

confidence: 99%

Noise measurements as proxies for traffic parameters in monitoring networks

Can

Dekoninck

Rademaker

et al. 2011

Science of The Total Environment

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SummaryDue to their typically high traffic intensity, urban ring roads are characterized by high noise levels and high concentrations of airborne pollutants. Hence, such locations are often priority measurement locations in monitoring networks. Unfortunately, the high purchase and operational cost of most airborne pollutant sensors severely limits the number of such sensors that can be deployed, leading to a (too) limited spatial resolution. The present research describes how low cost microphones could be used as proxies for traffic parameters. We consider a 7 day measurement campaign for an urban ring road in Antwerp, Belgium, where noise levels and traffic parameters were measured simultaneously. Noise indicators are calculated and are used to construct models to estimate traffic parameters. It was found that a proper choice of noise indicators allows for the accurate estimation of traffic intensities and means vehicle speeds, both for light and heavy vehicles. Furthermore, the usefulness of these estimated traffic indicators in a monitoring strategy is assessed. Carbon monoxide, hydrocarbon and nitrogen oxide emissions are calculated with the pollutant emission model Artemis. By comparing the Artemis outputs when using measured and estimated traffic parameters as input, the suitability of the constructed models is assessed. Estimations of emitted airborne pollutants were shown to be accurate, leading us to conclude that there are indeed significant opportunities to use noise measurements as proxies for traffic parameter measurements for the estimation of airborne pollutant emissions.PACS no. xx.xx.Nn, xx.xx.Nn

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On the ability of consumer electronics microphones for environmental noise monitoring

Cited by 45 publications

References 10 publications

Multiagent-Based Data Fusion in Environmental Monitoring Networks

Multiagent-Based Data Fusion in Environmental Monitoring Networks

Urban Background Noise Mapping: The General Model

Noise measurements as proxies for traffic parameters in monitoring networks

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