Improved Indoor Localization Algorithms for IEEE 802.11 Wireless Networks

In this paper we present indoor localization aspects in IEEE 802.11 wireless networks. We analyze two existing lo- calization algorithms, N-Nearest Neighbor and Smallest Polygon, and we propose two modified versions of these algorithms. Comparisons between the classic versions and our proposals are realized both trough simulations and with a real test-bed,performed at the University of Ferrara. Obtained results show that our modified algorithms lead to improvements concerning both the mean error and the variance related to the localized position.