Energy-aware JPEG for Visual Sensor networks

We address the problem of modeling and adapting JPEG to the energy requirement of Visual Sensor Networks (VSN). An Energy-aware adapted version of JPEG, called Squared JPEG (S-JPEG), is discussed. S-JPEG exploits the energy compaction property of the two-dimensional discrete cosine transform (2D DCT), to reduce both the redundant data within the sent image and the energy dissipated by a source node. S-JPEG addresses the VSN applications that face severe energy constraints and do not need a full image quality at the sink, such as video-surveillance. An energy model is developed for both JPEG and S-JPEG. Moreover, we used a simplified routing protocol to validate our theory. A set of simulations are conducted to show the performance of our work.