A k-weighted centroid algorithm based on proximity beacon node optimization

Weighted centroid algorithm is a kind of location algorithm which is more accurate than the traditional centroid algorithm. Differential weighted centroid algorithm for RSSI problem in weighted centroid algorithm is easy to be disturbed by environmental factors, Differential correction with beacon nodes has been put forward, but blindly using the nearest beacon node for differential correction will have a negative impact on accuracy. To solve this problem, this paper proposes a k-weighted centroid algorithm based on the optimization of adjacent beacon nodes. Experimental simulation results show that the k-weighted centroid algorithm has a better effect than the weighted centroid algorithm and the weighted centroid algorithm.