Optimization of sensor disposition for accurate localization in a practical environment

This paper proposes an optimization method of sensor disposition for geometrical localization with a probability based algorithm. This method can be applied to any practical environment. The proposed method makes use of the likelihood function of the location and the Cramer-Rao lower bound to obtain the expected accuracy distribution, and provide optimized sensor disposition in accordance with application scenarios. The experiment with IEEE 802.11 standards based devices demonstrates that the optimization of sensor disposition reduces the mean error by 50 percent.