The Virtual Sensor Concept - Separating Sensor Software from the Hardware

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Accepted Manuscript (AM)
Author(s)
Trevathan, Jarrod
Read, Wayne
Sattar, Abdul
Schmidtke, Simon
Sharp, Tony
Year published
2020
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Show full item recordAbstract
Aquatic environmental sensors are expensive which limits the ability to undertake widescale remote monitoring. In most instances, too much logic and functionality are contained within the sensor device itself. This approach is expensive and computationally restrictive. This paper presents a new architectural paradigm for remotely deployed sensors whereby the calibration logic (and other functionality) is separated from the physical sensor hardware. A sensor device is only responsible for taking raw unprocessed sensor readings, which are transmitted back to a central server. All processing occurs on the server where computational ...
View more >Aquatic environmental sensors are expensive which limits the ability to undertake widescale remote monitoring. In most instances, too much logic and functionality are contained within the sensor device itself. This approach is expensive and computationally restrictive. This paper presents a new architectural paradigm for remotely deployed sensors whereby the calibration logic (and other functionality) is separated from the physical sensor hardware. A sensor device is only responsible for taking raw unprocessed sensor readings, which are transmitted back to a central server. All processing occurs on the server where computational capability and sophistication are unbounded. This approach allows for significant flexibility in terms of dynamic calibration adjustments to be applied to sensor data (e.g., in the case of sensor fouling or device decay) and for statistical quality assurance/data production algorithms to be applied. We present an example of how this paradigm can be adopted in this context to a turbidity sensor.
View less >
View more >Aquatic environmental sensors are expensive which limits the ability to undertake widescale remote monitoring. In most instances, too much logic and functionality are contained within the sensor device itself. This approach is expensive and computationally restrictive. This paper presents a new architectural paradigm for remotely deployed sensors whereby the calibration logic (and other functionality) is separated from the physical sensor hardware. A sensor device is only responsible for taking raw unprocessed sensor readings, which are transmitted back to a central server. All processing occurs on the server where computational capability and sophistication are unbounded. This approach allows for significant flexibility in terms of dynamic calibration adjustments to be applied to sensor data (e.g., in the case of sensor fouling or device decay) and for statistical quality assurance/data production algorithms to be applied. We present an example of how this paradigm can be adopted in this context to a turbidity sensor.
View less >
Conference Title
Proceedings of 2020 IEEE SENSORS
Funder(s)
ARC
Grant identifier(s)
LP190101083�
Copyright Statement
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Subject
Artificial intelligence
Image processing