A new location and correction method for the location algorithm of wireless sensor networks is proposed, which
aims at conquering the general drawback of low location precision. Data fusion is done firstly based on Bayesian estimation,
and the approximate location of nodes is gained. The virtual force method is used to correct the location of nodes in partial,
and the process of global correction based on hybrid genetic algorithm is carried out further. The simulation results show
that, compared with other algorithm based on range measurement, the location precision is improved effectively.