Research On Routing Protocol And Location Technology Of Wireless Sensor Networks

By arranging large numbers of sensor nodes in the monitoring environment,and the connection among the nodes is not set in advance,but rely on nodes self-organizing connection configuration and application management,thus forming a wireless sensor network.Through the data acquisition and processing of nodes,the formation of real-time data information is reflected to the user.According to its characteristics,its application value is high,so in this paper,the research of wireless sensor network is necessary.This paper is around the wireless sensor network routing protocol technology and positioning technology to study.In terms of routing protocols,this paper introduces the problem of the routing protocols and the network lifetime of the wireless sensor network.On the basis of analyzes and studies of the LEACH routing protocol,this paper takes into account the nodes energy and the distance factors to improve LEACH routing protocol of the network and to extend its lifetime by optimizing the clustering threshold.By MATLAB simulation platform,it is proved that the survivability of sensor nodes is improved greatly,and the lifetime of wireless sensor networks is prolonged.In terms of positioning technology,this article analyzes the based on no ranging DV-HOP localization algorithm.Considering the positioning precision is not enough precise,and the error is large,a improved method is analyzed that improved beacon nodes' average jump distance and the entire network's average jump distance error to make a more accurate positioning.In addition,In the node under static conditions,by using the KALMAN filter algorithm to improve the DV-HOP algorithm,the specific operation is to use DV-HOP algorithm for position,then using KALMAN filter is to cycle refinement of the results of the initial positioning.And the simulation result with the influence of the number of anchor nodes is also considered.By MTLAB simulation,the results show the DV-HOP algorithm based on KALMAN filtering is more accurate than the original algorithm in locating the results,and improves the localization error effectively.