The Life of a New York City Noise Sensor Network
Abstract
:1. Introduction
2. Prior Work
3. Sensor Network Deployment and Data Collected
3.1. Deployment
3.2. Data Collected
4. Sensor Node
4.1. Sensor Core
4.2. Acoustic Sensing Module
4.3. Data Capture Module
4.4. Operational Modules
5. Sensor Network Infrastructure
5.1. Data Ingestion
5.2. Remote Sensor Control
6. User Interface
6.1. Stakeholder Interface
6.2. Data Access and Visualization
6.3. Sensor Network Monitoring
7. Sensor Network Downtime Analysis
7.1. Data Yield
7.2. Telemetry Analysis and Fault Diagnosis
- CPU load (%/1 min): mean CPU usage over a 1 min period across all four 900 MHz CPU cores;
- CPU load (%/15 min): mean CPU usage over a 15 min period across all four 900 MHz CPU cores
- CPU temp (°C): core CPU temperature in degrees Celsius;
- RAM usage (%): usage of 925 MB RAM;
- Wi-Fi signal strength (%): measure of Wi-Fi signal strength;
- Wi-Fi signal quality (%): measure that factors in signal-to-noise ratio (SNR) and signal strength;
- Data usage (%): usage of 12 GB SD card data partition;
- TMP usage (%): usage of 50 MB RAM disk partition used for fast temporary I/O operations;
- Var-log usage (%): usage of 50 MB RAM disk log partition where all log files are written to;
- Running processes: count of running processes.
7.3. Summary
8. Conclusions
9. Future Work
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Data Quality | Scale | Longevity | Affordability | Accessibility | |
---|---|---|---|---|---|
Participatory sensing | low | large | short | high | low |
Piper et al. | high | small | short | high | low |
Array of Things | low | large | long | high | high |
B & K/Norsonic/01dB | high | small | long | low | low |
SmartSensPort-Palma | high | small | short | low | low |
Rumeur | high | large | long | low | high |
Dynamap Life+ | low | large | short | high | high |
MESSAGE project | low | large | short | high | low |
IDEA project | high | large | short | high | high |
SONYC | high | large | long | high | high |
Description | Format | Size | Frequency | Cached | Total Size |
---|---|---|---|---|---|
Sound pressure level (SPL) | tar | 150 KB | 60 s | yes | 2 TB |
Audio snippets | tar.gz | 500 KB | 20 s | yes | 40 TB |
Node status | JSON | 1 KB | 3 s | no | 80 GB |
Split Group | Total Instances (Rows) | Class | Instance n (% of Total) | Row Count (% of Total) |
---|---|---|---|---|
Train | 550 (399,959) | Stable | 276 (50.2) | 204,304 (51.1) |
Prefail | 274 (49.8) | 195,655 (48.9) | ||
Test | 138 (101,891) | Stable | 68 (49.3) | 55,743 (54.7) |
Prefail | 70 (50.7) | 46,148 (45.3) |
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Mydlarz, C.; Sharma, M.; Lockerman, Y.; Steers, B.; Silva, C.; Bello, J.P. The Life of a New York City Noise Sensor Network. Sensors 2019, 19, 1415. https://doi.org/10.3390/s19061415
Mydlarz C, Sharma M, Lockerman Y, Steers B, Silva C, Bello JP. The Life of a New York City Noise Sensor Network. Sensors. 2019; 19(6):1415. https://doi.org/10.3390/s19061415
Chicago/Turabian StyleMydlarz, Charlie, Mohit Sharma, Yitzchak Lockerman, Ben Steers, Claudio Silva, and Juan Pablo Bello. 2019. "The Life of a New York City Noise Sensor Network" Sensors 19, no. 6: 1415. https://doi.org/10.3390/s19061415