correlation-based data dissemination in traffic monitoring sensor networks
In this work, we investigate the nature of spatio-temporal correlations in an urban traffic scenario, and how they can be exploited to reduce the cost of sensor data propagation to the gateway nodes, where users are connected. We conduct experimental analysis of our proposed algorithms using a real dataset of road traffic data generated in the city of Cambridge.
traffic monitoring sensor networks spatio-temporal correlations in-network data reduction lossy compression