Data Filtering and Aggregation in a Localisation WSN Testbed
The main challenge in wireless networks is to optimally use the confined radio resources to support data transfer. This holds for large-scale deployments as well as for small-scale test environments such as test-beds. The authors 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 may be of interest. The proposed design solutions indicate that traffic reduction as high as 97% can be achieved in the specific case of test-bed for indoor localisation.