An improved APIT location algorithm for wireless sensor networks
Faculty of Computing, Health and Science
School of Computer and Security Science
In order to improve localization accuracy and coverage of the APIT technique, we proposed an improved localization algorithm which further employed the RSSI range method with the APIT technique. Namely, we performed an extra RSSI value comparison in carrying out Point-In-Triangulation test to reduce the Out-To-In errors. Furthermore, we used intersection of two anchor circles to solve the problem when the number of nearby anchor nodes was insufficient for localization. Simulation results show that using the proposed algorithm, localization accuracy can be increased by about 11% when the density of nodes is relatively low. Meanwhile, the proposed algorithm can achieve better coverage comparing with the classic APIT algorithm.