Traditional distance-based algorithms which use theoretical model of electromagnetic signals produces a large error because its parameters are often determined by experience. In order to improve location precision and reduce adverse effect of environmental factor

present a novel wireless network indoor location algorithm based on evolution theory. Firstly

parameter of loss model is estimated by genetic algorithm based on evolution strategy;secondly

three-edge location algorithm is used to locate unknown nodes

finally

simulation is carried out to test performance. Experimental results show that the proposed algorithm can effectively reduce indoor average location error of wireless network and has practical value.