The honeycomb-shaped weighted centroid positioning algorithm based on RSSI
ZOU Dong-yao
LIU Bi-wei
LI Chen
Abstract：Aiming at the problem that the positioning accuracy based on received signal strength (RSSI)algo-rithm was easily affected by environmental disturbance,an improved weighted centroid positioning algorithm was proposed.First,an optimal length was adopted to improve localization accuracy by analyzing the relation-ship between the communication distance and ranging error.Then,the localization area was divided into several honeycomb sub-regions with the optimal length according to the situation of the overall environment.And these honeycomb sub-regions developed their environmental parameters by the least squares fitting method.Last, RSSI values were filtrated by Gaussian distribution model and weighted arithmetic to ensure the reliability.The simulation results showed the improved algorithm had better efficiency and positioning accuracy,compared with the traditional weighted triangular centroid positioning algorithm.
Keywords：centroid positioning algorithmRSSIweigh-ted functionthe least squares fittingGaussian distribution model
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 89-96 )