A probability-centroid locating method based on RSSI was presented aiming at the low comprehensive locating precision in the least square locating method and large computing amount in maximum likelihood estimation locating. The algorithm adopted the overlapping area, which should be locating ring of anchor node under a certain outstanding degree, replacing the whole distribution area in wireless sensor network (WSN). Then the probability-density-centroid of overlapping area was figured out as the estimated value of unknown node. Locating error curves of the two methods were obtained under the existing differences of standard deviation of anchor nodes. The comparative results demonstrated that the locating precision of the method was higher than that of least square locating method, which validated that the algorithm would excel the least square locating algorithm. Results show that the method is provided with the same locating precision as maximum likelihood estimation, and the computing amount is reduced by 95%～97.5%．
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