Editing Results and recommendations from the comparison exercise of sensor embedded processing practices
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Small, generally low-cost sensors, that are deployed in unsupervised networks (or remote locations such as the ocean) are becoming more and more important across RIs and across domain. These kinds of sensors generally come equipped with data/signal processing capabilities that are generally stored in a microcontroller unit accompanying the sensing unit itself. This deliverable aims to sum up what are the main criticalities, issues and guidelines when applying these kinds of sensors in the field. Different applications and different sensors are examined in the deliverable ranging from low cost air pollution wireless sensor networks up to oceanic automated profilers. The result of such a comparison exercise is the highlighting of two main criticalities for which recommendations are provided: | Small, generally low-cost sensors, that are deployed in unsupervised networks (or remote locations such as the ocean) are becoming more and more important across RIs and across domain. These kinds of sensors generally come equipped with data/signal processing capabilities that are generally stored in a microcontroller unit accompanying the sensing unit itself. This deliverable aims to sum up what are the main criticalities, issues and guidelines when applying these kinds of sensors in the field. Different applications and different sensors are examined in the deliverable ranging from low cost air pollution wireless sensor networks up to oceanic automated profilers. The result of such a comparison exercise is the highlighting of two main criticalities for which recommendations are provided: | ||
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