Research On Time Synchronization Algorithm In Wireless Sensor Networks

Wireless sensor network is one of the top ten energetic industries in the 21st century.Development of wireless sensor network has attracted much attention from scholars at home and abroad.Wireless sensor network technology is a combination of wireless sensor technology,wireless communication technology,Internet of things,information processing and other technologies.Its application area is very extensive It first appeared in the military,and then played an important role in medical,biological artificial intelligence,network communications and other fields.Time synchronization is a supporting technology of wireless sensor network technology.If time is unable to keep synchronization,the application of wireless sensor network technology is not very significant,thus time synchronization plays a vital role in the development of wireless sensor network technology.This passage mainly studies and analyze some classical time synchronization algorithm when the number of network nodes is increasing;the expense of network is huge.As algorithm complexity increasing the error of the algorithm becomes large.It will cause the precision can't meet the actual requirement.In view of this phenomenon,a new time synchronization algorithm for high precision energy its precision from two aspects of the phase deviation and clock drift.At first,the maximum posterior estimation is based on Markov with its airport.The phase deviation of the non-adjacent receiving nodes in wireless sensor networks is estimated under multiple reference broadcast message.Then Gardner ring can estimate and track of clock drift in real time.Due to the process of dynamic drift,the synchronization process can only be achieved through real time tracking.The simulation results illustrate is precious and the energy consumption of network reduced.The fuzzy clustering method is applied to wireless sensor networks.Because the traditional algorithm is difficult to meet the requirements of large-scale network time synchronization There are many problems in the wireless sensor network,such as large energy consumption long synchronization convergence time and etc.In this paper,the time synchronization algorithm of flood broadcast broadcast time in wireless sensor networks is proposed on the basis of fuzzy clustering and the membership degree is adjusted the convergence.Data that deviates from the normal error range are deleted and then the time compensation is completed by using the effective data.Simulation results show that the algorithm can better meet the wireless sensor network and it is superior to the traditional algorithm in network energy consumption synchronization accuracy and convergence time.