Optimization of node location algorithms in wireless sensor networks
In wireless sensor networks,it is necessary to accurately describe the position of nodes in order to ensure the accuracy of data collection.Node localization calculation is a core issue in wireless sensor networks,and the DV-Hop algorithm is currently widely used in practical applications.The core idea of the DV-Hop localization algorithm is based on distance vector routing cal-culation,using the product of the number of hops between nodes and the average hop distance to represent the distance between nodes.The traditional DV-Hop algorithm achieves good positioning performance in isotropic network environments.However,in network environments with randomly distributed nodes,there are significant positioning errors due to large calculation errors in av-erage hop distance and the use of straight paths instead of actual paths.The improvement idea of the DV-Hop localization algo-rithm is mainly through sampling the communication distance of nodes,which mostly relies on actual engineering experience for values.However,this method makes the improved algorithm less adaptable to scenarios.This article establishes an optimized mathematical model for the mean square error of the average distance per hop of any anchor node,corrects the average distance per hop of the entire network,and makes the estimated distance per hop of the entire network closer to the actual average distance per hop,thereby improving positioning accuracy.The method proposed in this article is widely applicable in various scenarios.Simulation analysis confirms the effectiveness of the improved algorithm.
NETL
NSTL
万方数据
维普
