Effectively modeling data from large-area community sensor networks
Saket Sathe, Sebastian Cartier, Dipanjan Chakraborty, Karl Aberer · 2012
Effectively managing the data generated by Large-area Community driven Sensor Networks (LCSNs) is a new and challenging problem. One important step for managing and querying such sensor network data is to create abstractions of the data in the form of models. These models can then be stored, retrieved, and queried as required. In our OpenSense project, we advocate an adaptive model-cover driven strategy towards effectively managing such data. Our strategy is designed considering the fundamental principles of LCSNs.