An improved RBF neural network algorithm to mitigate the distance error based on RSSI

In this paper, two methods were considered to estimate the distance, which aims to study the influence of external environmental factors on localization accuracy. The first method is log-normal shadowing model (LNSM), which estimates the distance through the received signal strength indicator (RSSI). The second method is improved algorithm based on RBF neural network (RBFNN). Two different experimental environments are considers in order to compare the accuracy of the calculated distance. The result illustrates the effectiveness and accuracy of the proposed algorithm.