Foxtrot: phase space data representation for correlation-aware aggregation
conference paper
Most existing work in aggregation and querying for sensor network data has focused on the use of standard statistical operations (average, median, etc) to reduce the quantity of transmitted data within a network. These operations have been carried out without considering the nature of the actual data in the network. In this paper, we show how aggregation without correlation awareness will result in variable (often high) levels of error in the end results, and reformulate the nature of the aggregation problem in terms of information loss v.s. packet ratereduction. We instead propose Foxtrot - using phase space data representation combined with novel aggregation methods to limit errors to application-specific Foxtrot reduces data rates without significant information loss. We demonstrate that Foxtrot is able to achieve these goals, both using simulation methods and a TinyOS implementation.
TNO Identifier
215472
Source title
SECON '07. 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, 2007, 18-21 June 2007, San Diego Marriott Mission Valley, San Diego, CA
Pages
353-360