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In order to improve the three-dimensional positioning accuracy of wireless sensor network node, it is proposed that wireless sensor network three-dimensional positioning method based on the population based incremental learning algorithm.At first,the algorithm by RSSI measurement of the distance and set a threshold to eliminate the error containing big measuring distance.Then it uses the population based incremental learning algorithm to find the solution to the fitness function, and according to the rules of Heb,it updates probability vector and produces new individual.Finally,it obtains the optimal solution by the cycle optimization. Through using Matlab simulation, its results show that the positioning accuracy and stability of the algorithm had obvious improvement compared with maximum likelihood method.