Adaptive Aggregation of Redundant Sensor Data in the Internet of Things
Stephan Schmeißer, Gregor Schiele · 2016
The internet of things will result in a large number of cheap, inaccurate and unreliable sensors that are redundant since they sense the same real-world phenomenon. We propose an approach for harnessing this redundancy based on the concept of so-called abstract sensors. This can counteract the shortcomings of the sensors and allows us to adapt between different levels of accuracy, reliability and energy consumption as needed at runtime. We briefly discuss our approach and how it achieves these properties.