Propose a sparse distributed anchor node Monte-Carlo boxed（SDANMCB） localization algorithm

which transfer node with high positioning precision to virtual anchor node to assist other nodes for localization;according to area of sampling box and neighbour anchor node amounts to adjust sample numbers needed for positioning; after filtering

adjust weight of samples according to posterior distribution of sample.Simulation results show this algorithm has obvious improvement in localization precision

sampling efficiency

and in low anchor node density

localization effect has great improvement.