3D-RABLC:a novel refinement algorithm based on LQI confidence for three-dimensional localization

3D-RABLC:a novel refinement algorithm based on LQI confidence for three-dimensional localization

Blog Article

A novel Wooden Shape Sorting refinement algorithm based on LQI confidence for three-dimensional localization (3D-RABLC)was proposed.LQI confidence was obtained in terms of the relationships between RSSI and one hop distance,LQI and packet error rate(PER),which derived from experimental data.The measured RSSI was filtered by LQI confidence.Moreover,the RSSI with lower confidence was modified by a three-dimensional multi-hop model or a compensating refinement method.The experiment results show that the algorithm reduces Bundle the RSSI range error,and improves the accuracy of three-dimensional localization significantly.