Synchronization Technology Research Based On The Complex Networks Theory For Wireless Sensor Network

Synchronization technology is one of the important supporting technologies ofwireless sensor network. The network topology generation mechanism andself-organization evolution model is an important basis of some key technology, such asthe network’s coverage and connectivity, synchronizaiton, topology control, locationrouting and so on. Complex networks are large-scale networks with complicatedtopology and dynamic behavior. It is one kind of graph structures constituted by a largenumber of nodes connected through the edges between them. Complex networks theorydescribes the evolution discipline, mechanism and the overall dynamic behaviorcharacteristics of complex networks system. It provides a pervasive handling method toall kinds of complex networks with different structures. Applying the complex networkstheory to a large-scale wireless sensor network has become a frontier research topic.Complex networks synchronization theory provides new ideas and methods based onsmall-world networks theory of the wireless sensor network model synchronizationtechnology research. The conclusions have important theoretical significance.This paper discusses the composition of wireless sensor network structure, protocolstack and key technology. In order to alleviate the effects of transmission delay andinaccurate receiving time on the time synchronization of the wireless sensor network,designed an improved TPSN time synchronization method, which uses the maximumlikelihood estimation to estimate the value of each receiving node and to approximateits real value. Then it gets the system clock deviation from the clock deviation of eachnodes’ receiving data, obtaining more accurate synchronization time offset. Simulationresults show that, without changing the synchronization mechanism, the proposedmethod can improve the precision of synchronization.This paper introduces the development theory, application and researchsignificance of complex networks. Analyze several basic topology model and mainstatistical characteristic parameters of complex networks. Aiming at wireless sensornetwork has the characteristics of complex networks, discusses the characteristics ofcomplex networks and wireless sensor network, then expounding the feasibility that usecomplex networks theory to study the nature of wireless sensor network. Based oncomplex networks theory to analyze the characteristics of wireless sensor network,which mainly includes: degree distribution of the nodes, clustering coefficient, average path length and simulation on Matlab.This paper analyzes the synchronous conditions and synchrony relations of thewireless sensor network which is based on the complex networks synchronizationtheory. Analysis the synchronization conditions of wireless sensor network. Byconstructing coupling matrix A, we can obtain its eigenvector and eigenvalue. Pick thesecond largest eigenvalue λ₂（p, N）to study, and analyze its relationship with randomadd edge probabilitypand the number of nodes N. At last, we prove that thesynchronization performance of the network model is related to random add edgeprobabilitypand the network scale by Matlab simulation.