Efficient support for multi-resolution queries in global sensor networks
Andreas Benzing, Boris Koldehofe, Kurt Rothermel · 2011
Stream processing has evolved as a paradigm for efficiently sharing and integrating a massive amount of data into applications. However, the integration of globally dispersed sensor data imposes challenges in the effective utilization of the IT infrastructure that forms the global sensor network. Especially simulations require the integration of sensor streams at widely differing spatial and temporal resolutions. For current stream processing solutions it is necessary to generate a separate data stream for each requested resolution. Therefore, these systems suffer from high redundancy in data streams, wasting a significant amount of bandwidth and limiting their scalability.