Wireless sensor networks node self-location plays a critical role in the application of wireless sensor networks.But high inaccuracy is still a problem in its application.To solve this problem

a new localization algorithm based on Monte Carlo is proposed.By computing the power value with particle-to-anchor node distance

algorithm converges to the unknown location through the constant particles group updating.It has simulated at the occasion of no line of sight

different quantity anchor nodes

iteration and particles.And it also compared with maximum likelihood estimation localization algorithm.The result shows that the localization algorithm makes full use of the node’s localization information;and reduces affection of no line of sight with high accuracy and of well robustness.