Low-complexity aggregation of collected images with correlated fields of view in wireless video sensor networks

Wireless video sensor networks (WVSNs) require video data from sensor nodes to be delivered efficiently. Cameras in adjacent video nodes tend to have correlated fields of view (FoVs) or overlapping part when a sufficient number of video sensors are deployed. This paper proposes a data aggregation technique for WVSNs to remove the spatial redundancy, thereby reducing energy consumption and response time. Our approach exploits the correlation between discrete cosine transform (DCT) coefficients pairs of two intra-coded images from cameras with overlapping FoVs. Experiments show that an intermediate node en route to the base station achieves bit-rate savings up to 18.9%. This scheme is less complicated than other video and image coding techniques that exploit correlated FoV, allowing resource-constrained video sensors to operate more reliably and longer.