Abstract: We proposed an improved weighted centroid algorithm based on setting the received signal strength indication reference value. First, the relevant data packets such as the coordinates were diverted from the anchor node to the surrounding area. Then, assuming that a reference node was an unknown node, the signal intensity loss value in the process of propagation with the surrounding anchor node was measured, the minimum received signal intensity indication value was judged, and the sample set was optimized. The parameters of the revised signal indication value were taken as the weights of the corresponding new table nodes, and the location error was obtained. The simulation results of MATLAB show that, compared with the traditional algorithm, the algorithm has higher location accuracy, smaller fluctuation of location error, and strong mobility and adaptability.

Key words: weighted centroid localization algorithm, received signal intensity, weighting factor, adaptive reference value