Distributed video coding for wireless visual sensor networks using low power Huffman coding

Practical distributed video coding is enthralling problem to solve for the research community. In this work, we present a distributed video codec to reduce energy consumption at the sensor node. Video compression is computationally intensive task, which makes computational energy a dominant factor in overall energy consumption. Specifically, we propose distributed video codec with low computational energy blocks of DCT, quantization and Huffman coding ensuring maximal compression. Our contribution in this paper is to provide analytical method for computing energy consumption at the sender node. An analytical performance evaluation in terms of expected energy dissipation is provided while using Imote2 platform. Furthermore, due to high processing capability of Imote2 platform, it is suitable for data-rich environments.