Data filtering and aggregation in the Location Based Analyser testbed
I.F.R. Noppen, D.C. Dimitrova, T. Braun
Technical Report, Institut für Informatik und angewandte Mathematik, 2011
Download: PDF document (10385Kb)
The main challenge in wireless networks is to optimally use the confined radio resource to support data transfer. This holds for large-scale deployments as well as for small-scale test-environments such as test-beds. We investigate two approaches to reduce the radio traffic in a test-bed, namely, filtering of unnecessary data and aggregation of redundant data. Both strategies exploit the fact that, depending on the tested application’s objective, not all data collected by the test-bed may be of interest. The proposed design solutions indicate that traffic reduction as high as 97% can be achieved in the target test-bed.