Based On Energy Balance In The Research Of WSN Clustering Routing

At present, it is widely believed that the Internet of things is the third wave after thecomputer and the Internet in the world of information industry development, which willbecome the next" important productivity "to promote the rapid development of humansociety.The WSN (Wireless Sensor Network) has become a key part of things networkingperception layer and network layer and implementation, which has great researchsignificance. The network life cycle of WSN is one of its key performance indicators. Theenergy belonging to nodes in the network is limited and cannot be supplied continuously,so it must be considered that sensor network node energy consumption should be weighedemphatically in the design of WSN routing protocol. How to enhance the efficiency of thenetwork energy consumption of sensor nodes and weigh the average energy consumptionof network nodes better, to prolong the network life cycle, is one of the key problems in thestudy of routing protocol. The Single way of data transmission is adopted in the initiallyproposed WSN clustering routing protocol, which causing premature disability with energyloss too fast and node network empty situation in part of the network, to reduce the qualityof network data collection. Therefore, multi hop data communication strategy is putforward in order to avoid the single hop data transmission mode of "hot" issues. But thecluster head node near source node undertake the task of forwarding too much in multihop communication, the energy consumption of cluster head nodes is too large, to causethe individual cluster head node premature disability easily and lead to the cluster out ofthe network, form the "network hole", which shortening the lifetime of the network.Therefore, this article has studied the related links of WSN clustering routing protocol inorder to solve the above problems, which including the optimal number of clusters, unevenclustering, cluster structure formation, forming the inter cluster rout and clustermaintenance algorithm etc.. According to the above study results, the quantumevolutionary algorithm is studied systemically in this paper. The advantages of QEA,which including fast convergence, global search ability, adaptability is combined in thispaper based on the study and research of QEA theory. A WSN clustering based on QEAoptimization strategy is put forward in consideration of the problem of energy consumptionin nodes. First of all, the possibility of WSN routing optimized by QEA is analyzed.Secondly, the optimized QEA is integrated into the WSN routing protocol to optimize the inter cluster path, furthermore, the optimal number of clusters and the clusters of rotationpolicy are improved in order to reduce and balance energy consumption of nodes toprolong the network life cycle.Finally, the improved uneven component cluster routing protocol, classic LEACH,EEUC protocol and DEBUC protocol are carried on the analysis comparison on theMATLAB simulation platform. The simulation results show that, the cluster based routingprotocols based on QEA optimization which compared with the classical LEACH protocol,EEUC protocol and DEBUC protocol, is improved obviously between in the increase ofefficiency and node network sensor node energy consumption, thus, prolong the networklife cycle effectively.