Adaptive image compression based on compressive sensing for video sensor nodes

Monitoring applications based on wireless video sensor networks are becoming highly attractive. However, due to constrained resources such as energy budget, communication bandwidth and computing ability, it is imperative for video sensor nodes to compress images before transmission via wireless networks. In this paper, we propose a novel image compression scheme based on compressive sensing, which has low complexity and good compression performance. The image quality can be adaptively adjusted by the residual energy of sensor nodes and the link quality of network. Furthermore, the image compression algorithm has been validated on the actual hardware platforms. The experimental results show that the proposed scheme is suitable for resource-constrained video sensor nodes, and is feasible for the practical application.