ReviewSensors (Basel, Switzerland)2020
Low-Cost Sensors for Urban Noise Monitoring Networks-A Literature Review.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Detection of Mechanical Failures in Industrial Machines Using Overlapping Acoustic Anomalies: A Systematic Literature Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Noise Levels Due to Commercial and Leisure Activities in Urban Areas: Experimental Validation of a Numerical Model Fed with Crowd Density Estimation Using Computer Vision.Sensors (Basel, Switzerland) · 2025Article
- Effectiveness of Sound Field Corrections for High-Frequency Pressure Comparison Calibration of MEMS Microphones.Sensors (Basel, Switzerland) · 2025Article
- Research on Environmental Risk Monitoring and Advance Warning Technologies of Power Transmission and Distribution Projects Construction Phase.Sensors (Basel, Switzerland) · 2024Review
- Coupling Different Road Traffic Noise Models with a Multilinear Regressive Model: A Measurements-Independent Technique for Urban Road Traffic Noise Prediction.Sensors (Basel, Switzerland) · 2024Article
- Neurochallenges in smart cities: state-of-the-art, perspectives, and research directions.Frontiers in neuroscience · 2024Review
- Role-Driven Clustering of Stakeholders: A Study of IoT Security Improvement.Sensors (Basel, Switzerland) · 2023Article
- Using a Clustering Method to Detect Spatial Events in a Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment.Sensors (Basel, Switzerland) · 2022Article
- Applying the exposome concept to working life health: The EU EPHOR project.Environmental epidemiology (Philadelphia, Pa.) · 2022Article
- Multidimensional analyses of the noise impacts of COVID-19 lockdown.The Journal of the Acoustical Society of America · 2022Article
- A Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment.International journal of environmental research and public health · 2021Article
- WASN-Based Day-Night Characterization of Urban Anomalous Noise Events in Narrow and Wide Streets.Sensors (Basel, Switzerland) · 2020Article
- Smart Wireless Acoustic Sensor Network Design for Noise Monitoring in Smart Cities.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Noise pollution reduction in the environment is a major challenge from a societal and health point of view. To implement strategies to improve sound environments, experts need information on existing noise. The first source of information is based on the elaboration of noise maps using software, but with limitations on the realism of the maps obtained, due to numerous calculation assumptions. The second is based on the use of measured data, in particular through professional measurement observatories, but in limited numbers for practical and financial reasons. More recently, numerous technical developments, such as the miniaturization of electronic components, the accessibility of low-cost computing processors and the improved performance of electric batteries, have opened up new prospects for the deployment of low-cost sensor networks for the assessment of sound environments. Over the past fifteen years, the literature has presented numerous experiments in this field, ranging from proof of concept to operational implementation. The purpose of this article is firstly to review the literature, and secondly, to identify the expected technical characteristics of the sensors to address the problem of noise pollution assessment. Lastly, the article will also put forward the challenges that are needed to respond to a massive deployment of low-cost noise sensors.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.