An Improved Positioning and Ranging RSSI Algorithm

Based on the shadowing model, this paper uses the least-squares method to fit the environment parameters, and at the same time makes a weighted Gaussian improvement on the measured RSSI data. Finally, the improved trilateral measurement positioning algorithm is used to locate the target node. The experimental results show that this algorithm is less affected by the environmental factors, and has higher accuracy than the traditional RSSI positioning algorithm. It can be used in wireless sensor networks.