Event broker grids with filtering, aggregation, and correlation for wireless sensor data

Abstract

A significant increase in real world event monitoring capability with wireless sensor networks brought a new challenge to ubiquitous computing. To manage high volume and faulty sensor data, it requires more sophisticated event filtering, aggregation and correlation over time and space in heterogeneous network environments. Event management will be a multi-step operation from event sources to final subscribers, combining information collected by wireless devices into higher-level information or knowledge. At the same time, the subscriber's interest has to be efficiently propagated to event sources. We describe an event broker grid approach based on service-oriented architecture to deal with this evolution, focusing on the coordination of event filtering, aggregation and correlation function residing in event broker grids. An experimental prototype in the simulation environment with Active BAT system is presented. © Springer-Verlag Berlin Heidelberg 2005.