Evaluation of block interleaving techniques for robust image communication in wireless camera sensor networks

Abstract

We study block interleaving techniques for enhancing robustness against packet loss on wireless vision sensor networks. We evaluate three techniques: DSJ-AL interleaving, Turner and Peterson (TP) technique, and Torus Automorphisms (TA). Results in terms of image quality, obtained trough extensive simulations over monochromatic images, show the improvements provided by interleaving techniques in comparison with a sequential communication, with a slight favor to TA.