Research on Monte Carlo localization for three-dimension mobile wireless sensor network

The position is very important information for wireless sensor network, and the present localization methods are mostly suitable for static sensor networks. The paper presents a three-dimension localization algorithm for mobile node wireless sensor network based on Monte Carlo method named MDBMCL. The main contribution of the paper is that the enhanced Monte Carlo localization algorithm is proposed. The algorithm uses the motor direction to prune the anchor box, and the sample and filter is more efficient. According to the result, the method has better performance than traditional Monte Carlo algorithm and Monte Carlo Boxed method in the node localization accuracy and arithmetic speed, and it can provide availability and exact location data for wireless sensor network.