Research On WSN Data-acquisition And Routing Algorithm Driven By Abnormal Data

Wireless sensor network is constructed by a large number of micro sensor nodes through multi-hop self-organizing.It generally has the functions of sensing surrounding environment information and wireless communication.It has a wide range of uses in production and life.Its main function is data collection and Transmission,such as collecting equipment data from industrial sites,environmental data in the field,growth environment data of crops,etc.In many scenarios,batteries are generally used to supply power to sensor nodes,and workers cannot reach these application scenarios for battery replacement.Work,so the lifetime of the sensor network is greatly limited,which undoubtedly increases the cost.In view of the above problems,the research on energy-saving data acquisition algorithms and energy-efficient routing protocols of sensor networks is of great significance.Researching energy-saving data acquisition algorithms can effectively reduce the energy consumption of wsn data collection,and study the energy-equalization routing protocol based on the data acquisition algorithm,which is beneficial to prevent the generation of network holes and effectively prolong the survival time of the sensor network.In order to reduce the energy consumption during WSN data acquisition and transmission,this paper studies a WSN data acquisition and routing algorithm based on anomaly data.Firstly,the region growing algorithm in the image processing field is improved,and the improved region growing method is used.Similar sub-areas of the sensor network deployment area,the similarity of the data collected by the sensor nodes in each sub-area is higher;then the cluster head node selection method in the sub-area is designed,and the sensors in the sub-area are combined with the K-means clustering method.The nodes are clustered into several classes.The cluster head node is responsible for the data collection and routing forwarding functions of the nodes in the cluster.Then,the cluster head node determines whether a certain data is abnormal according to the data collected by the nodes in the cluster and based on the support degree method.The node decides whether to forward the data.Finally,a routing and forwarding protocol for energy balance of the cluster head node is studied to ensure the energy balance between the cluster nodes.This method eliminates a large number of redundant nodes in the sensor network by region growing method,reduces the amount of data in the sensor network,and studies the energy-balancedrouting protocol,avoiding the hole in the sensor network.Finally,using Matlab to carry out simulation experiments,the experimental results shows that the method has high accuracy in data collection,and saves a lot of energy and greatly prolongs the survival time of the sensor network.