RSSICorrection Localization Algorithm Based on Environmental Perception

The coordinate position information of the node is indispensable in the practical application of wireless sensor network. In this paper, a RSSI correction localization algorithm based on environmental perception is proposed, on the basis of the traditional received signal strength indication (RSSI) location algorithm, with the aim of improving location accuracy of nodes. Firstly, the RSSI data is filtered by Gauss to reduce the RSSI measurement bias. Secondly, the path loss index is calculated with RSSI to achieve environmental perception. Thirdly, the distances between the nodes are measured, and then the measurement results are calibrated by the proportional relationship to further reduce the impact of environmental factors on the ranging. Subsequently, the weighting coefficients that beacon nodes disturb unknown nodes are generated. Finally, the final position coordinates of the node are obtained by the least square method and the centroid formula with the weighted coefficient. The simulation results show that the positioning accuracy of the algorithm is obviously improved, with the actual value of the error of about 1m.