A dictionary classification approach for wireless sensor network localization

We proposed a novel range-free localization approach using dictionary classification for wireless sensor network with lack self-position equipment such as GPS. The dictionary is comprised by the connectivity message. Based on transmitting power consideration, we compress the dictionary in terms of Compressive Sensing (CS). And then we compare localization accuracy under various compression ratios. In simulation experiment, we also compare the difference of performance between our novel approach based on dictionary classification and Diffusion which is similar to our approach.