%0 Journal Article
%A CHENG Lin
%A LI Feng
%A REN Xiaokui
%T Improved centroid localization algorithm based on dynamic loss factor and weight
%D 2019
%R 10.11772/j.issn.1001-9081.2018081674
%J Journal of Computer Applications
%P 824-828
%V 39
%N 3
%X Aiming at the problem that the positioning accuracy of wireless sensor network nodes is affected by the environment and the error weight factor, a centroid positioning algorithm was proposed to dynamically correct path loss factor and error weight factor. At earlier stage, a dynamic loss factor was obtained by weighting correction according to the actual measurement and path loss model; at later stage, the weight factor matrix was constructed by dividing rectangular region. Firstly, the location of the unknown node was estimated by introducing dynamic loss factor into the traditional weighted centroid localization algorithm. Then, the error weight factor matrix was queried to determine the optimal weight factor. Finally, the unknown node location was recalculated. The experimental results show that the improved algorithm reduces the average error and the minimum error, and the positioning accuracy is 58% higher than ordinary centroid algorithm, 21% higher than dynamic correction centroid algorithm, and 11% higher than dynamic weighted centroid algorithm.
%U http://www.joca.cn/EN/10.11772/j.issn.1001-9081.2018081674