Data filtering and aggregation in the Location Based Analyser testbed

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.