An improved localization for wireless sensor network using support vector regression

Efficient localization algorithm is a research focus in the field of wireless sensor network (WSN). Nowadays, localization for wireless sensor network based on support vector regression(SVR) algorithm is one of the most important localization algorithms. In this paper, we analyse localization model based on support vector regression and propose a novel extraction method of training data for localization model. By simulations, the results show the proposed algorithm gives better accuracy than the original programming localization.