Research on localization algorithm based on path prediction and adaptive radio range for mobile sensor network

For localizing workers and equipments in readiness sap, based on Monte Carlo Localization (MCL) algorithm, an accurate localization algorithm for mobile sensor network, in which anchor nodes are fixed and normal nodes can move freely, is presented in this paper. Adopting two dimensional Newton interpolation to predict the movement path of normal node, localization selection model is builded, and by designing an adaptive method of computing the radio range of node, the impact of unsteady radio range to prediction result can be improved. Result of simulation indicates that the accuracy of new localization algorithm is higher, and the request of anchor node density is much lower than the basic MCL algorithm.