A RSSI-weighted refinement method of IAPIT-3D

The location information is very essential to monitoring activities in wireless sensor networks. According to the low accuracy of IAPIT-3D (Improved Approximate Point in Tetrahedron) in beacon-sparse environment, we propose a RSSI-weighted refinement method. It reduces the occurrence probability of the “in-to-out error” by utilizing the improved GRID SCAN. Moreover, the RSSI-weighted method improves the accuracy and decreases the probability of “in-to-out error” simultaneously. The simulation reveals that this method enhances the accuracy relatively to IAPIT-3D and is robust to the low node density.