Abstract: In various applications of wireless sensor network,it is necessary to know the relative or the actual position for the sensor nodes,so it is a very important task to complete the localization of sensor nodes.In this paper,a new iterative distributed weighted localization algorithm based on multidimensional scaling technique is proposed.In this way,a new local cost function and weight function is proposed through the analysis of multidimensional scaling technique and distributed weighted multidimensional scaling algorithm,thus a weighted local cost function is obtained.After the position measurements of each sensor from its total neighboring nodes and the estimations of its initial position is achieved,the position estimation update equation for each sensor is obtained by minimizing the corresponding local cost function.Simulation results show that the proposed algorithm can not only reduce the positioning error,but also reduce the convergence time.