Research On Routing Algorithm And Data Fusion Of Wireless Sensor Network

Routing algorithm and data fusion are the key technologies that affect the performance of Wireless Sensor Network(WSN)and directly determine the energy consumption and Network life cycle of WSN.Low Energy Adaptive Clustering Hierarchy(LEACH)is one of the classical algorithms in the current routing algorithm.In view of the importance of data fusion technology in routing algorithm and the problems existing in LEACH algorithm,this paper makes an in-depth study of LEACH algorithm and data fusion technology,as follows:1.Aiming at the problem of LEACH algorithm's random clustering and election of cluster heads,the clustering method based on K-means clustering algorithm is adopted to solve the clustering problem.The residual energy,neighbor density and distance from the base station are taken as weights to select the best cluster head by comparing weights.Data one hop communication shortcomings in LEACH algorithm,using the dijkstra algorithm based on fuzzy logic more jump communication mode,in order to find out the best the next-hop ordinary node way,step by step to transmit data to the cluster head nodes,cluster head nodes in the same way to transfer the data to the base station,thus saving the node energy consumption in the process of data transmission.Based on the above steps,an improved T-LEACH(Transform of LEACH)algorithm was proposed.Through MATLAB simulation experiment,the improved algorithm is superior to LEACH algorithm.2.Aiming at the problem that LEACH algorithm lacks specific data fusion methods,combined with relevant data fusion technologies,an improved T-LEACH algorithm based on gray prediction model is proposed.This algorithm establishes GM(2,1)model,selects the best number of prediction values,automatically updates the prediction sequence,and uses the improved gray prediction model to reduce the node data transmission.Through MATLAB simulation experiments,it is shown that the improved T-LEACH algorithm based on the gray prediction model is superior to the T-LEACH algorithm in terms of energy consumption,network life cycle,data transmission amount and other indicators,thus improving the effectiveness of the LEACH algorithm.