Wireless Sensor Network Node Localization And Path Planning Of Mobile Anchor Node

Node localization technology is one of the important supporting technologies in wireless sensor networks technology. In order to provide the events information, the nodes need to locate itself in advance. The path planning of the mobile anchor node is a powerful auxiliary used in node localization. The criteria of mobile anchor node path planning are minimum path length and maximize localization efficiency. In this paper, the main research contents and conclusions are as follows:First of all, on the basis of consulting a large number of relevant literatures, summarized the current research status of wireless sensor network (WSN) technology at home and abroad, introduced the method of wireless sensor network localization and the mobile node path planning method, analyzed in detail the typical algorithms and research results in this field.The second, Shadowing signal propagation model was applied to AHLoS localization algorithm based on distance measurement, in order to reflect the actual environment of multipath launch and obstacles hinder. Because of AHLoS localization algorithm performance are greatly influenced by the distance measurement error, the following improvements are put forward:real distance between adjacent anchor nodes is used to correct the unknown node distance measurement; depending on the credibility of node localization, the nodes involved in the localization are weighted; put forward two constraints for the position node upgrade to the anchor node. The experimental results show that the positioning system effectively improves the positioning accuracy of unknown nodes.The last, the mobile anchor node is used in AHLoS localization algorithm. This paper proposes a mobile anchor node dynamic path planning algorithm. The path algorithm based on the information interaction between the nodes. First determine the coordinate of a series of optimal node by mobile anchor node, with the help of these beacon nodes, use location algorithm to locate the remaining nodes. According to the distribution of network to realize real-time path planning, avoid the path redundancy phenomenon in static path planning. With the improvement of beacon nodes proportion, the cost of the network does not increase. When, the nodes uneven distribution, improve the efficiency of the mobile anchor node. Through the simulation analysis and comparison, the advantages of the path planning algorithm are determined.