Our paper on Wireless indoor localization with sensor placement optimization has been published in Advanced Robotics.
We propose an system installation scenario for wireless indoor localization systems and a flexible procedure for it with optimal sensor selection algorithms.
Installation cost with respect to the number of installed sensors is important factor for practical home sensing, even though many researchers focused on only localization accuracy.
We focus on reducing installed RSSI sensors under the condition of keeping certain localization accuracy.
In this research, we solve the optimal sensor placement problem as a problem of sensor selection after temporarily deploying sensors to the house.
Masamichi Shimosaka, Osamu Saisho, Takuya Sunakawa, Hidenori Koyasu, Keisuke Maeda, Ryoma Kawajiri
ZigBee based wireless indoor localization with sensor placement optimization towards practical home sensing
Advanced Robotics Vol.30, issue 5, pp. 315–325, 2016