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# Research
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**Pre-Deployment Testing of Low-cost Gas sensors.** Nowadays, low-cost air quality sensors are integrated in an increasing number of measurement platforms for air quality monitoring. Calibrating these sensors to reference measurements is however challenging. These sensors typically suffer from cross-sensitivities, poor stability and sensor noise. Information about these limiting effects is often not provided by the manufacturers. Even if the information is given in a datasheet, it is often scarce and reflects sensor performance under laboratory conditions. Neglecting sensor cross-sensitivities and deployment settings usually results in poor sensor performance, frequent calibration necessity and calibration failures. This arises the need for pre-deployment sensor testing under application conditions
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**Pre-Deployment Testing of Low-cost Gas sensors.** Nowadays, low-cost air quality sensors are integrated in an increasing number of measurement platforms for air quality monitoring. Calibrating these sensors to reference measurements is however challenging. These sensors typically suffer from cross-sensitivities, poor stability and sensor noise. Information about these limiting effects is often not provided by the manufacturers. Even if the information is given in a datasheet, it is often scarce and reflects sensor performance under laboratory conditions. Neglecting sensor cross-sensitivities and deployment settings usually results in poor sensor performance, frequent calibration necessity and calibration failures. This arises the need for pre-deployment sensor testing under application conditions.
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Related publications:
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* Maag et al. [Pre-Deployment Testing, Augmentation and Calibration of Cross-Sensitive Sensors](./publications#anchor-2016)
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Related publications:
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* Maag et al. [W-Air: Enabling Personal Air Pollution Monitoring on Wearables](./publications#anchor-2018)
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* Hasenfratz et al. [Participatory Air Pollution Monitoring Using Smartphones](.publications#anchor-2012)
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**Route Scheduling** is a problem of selecting a subnetwork of a timetable network to install measurement stations with the goal to optimize coverage of the city given a limited number of measurement stations. Since the measurement stations are equipped with gas sensors which need reference measurements from time to time, we demand that the subset of selected vehicles allows comparing measured sensor values across different sensors. This is possible only if sensing takes place at the same time and same location, meaning that the vehicles selected for the deployment should meet each other from time to time. The set of aggregated meeting points builds a network. Efficient design of this network contributes to the system’s fault tolerance by recognizing sensor malfunctioning, sensor precision loss due to sensor aging, and provides the necessary support for sensor calibration with a reference station. On top of the network of meeting points, we investigate different schemes to periodically calibrate the sensors.
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Related publications:
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* Saukh et al. [Route Selection for Mobile Sensor Nodes on Public Transport Networks](./publications#anchor-2014)
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* Saukh et al. [Route Selection for Mobile Sensors with Checkpointing Constraints](./publications#anchor-2012)
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* Saukh et al. [Demo-Abstract: Route Selection of Mobile Sensors for Air Quality Monitoring](./publications#anchor-2012) |