Mobile robot tracking in the BSN using support vector machine

This paper presents a localization algorithm for mobile node, such as robot in the binary sensor network. The binary sensor network can be constructed with any systems, wireless LANs or other communication methods. Our proposed location estimation process is based on support vector machine. We find optimal separating hyperplane which classifies sensor groups, and we estimate the position of mobile robot with radio range constraints. The proposed method can be used in the noisy communication environment. Simulation results are given to show the better performance of the proposed method than other methods.