Comparison of Indoor localization Methods in Two-Dimensional Wireless Sensor Network

Abstract

With the boost demand of localization-based service, indoor positioning has been drawn on highly awareness. However, although there are already many solutions to deal with this problem, comparisons of them are still of great significance. This paper compares the precision and the robustness of traditional indoor localization methods in wireless sensor network (WSN). Exponential model is applied to analogy a 2.4GHz indoor channel. Based on different types of sensors, several specific algorithms, such as TOA, TDOA, Least Square Method, Triangular Localization, Centroid Localization and AOA are illustrated in a two-dimensional indoor model. In addition, these methods are compared under the same condition to get their respective results and errors. From the comparison of them, different methods are decided to use based on different kind of sensors. AOA and TDOA are chosen when sensors only can measure the angle and the time respectively. When the sensor can merely receive the signal strength, triangular localization method is the best way.