Research On Fast Fault Tolerance Technology Of Low Power WSN In Smart Building

The rapid development of wireless sensor network(WSN)technology has made its monitoring application in smart buildings more and more widely used.When using WSN for monitoring in smart buildings,sensor nodes may be damaged due to longterm energy consumption or physical damage.If the original function is lost due to other reasons,the communication link of the node may also experience temporary or permanent communication failure due to object blocking or data collision blocking.Therefore,the study of network energy low power consumption and fault tolerance is the key issue to realize the normal operation of the entire network.Aiming at the problem of excessive energy consumption of nodes in WSN,a low-power management method for fine-grained power control is proposed.For deep sleep(state 0),medium idle(state 1)and wake-up preparation(state 2),the idle and working modes remain unchanged,and the power consumption is adjusted by switching the working state of the node sleep mode.Under the premise of ensuring the normal operation of the WSN,The node energy consumption is greatly reduced,and the low power consumption target is achieved,and the simulation results show that about 74% of the electricity is saved compared with the traditional method.Aiming at the problem that WSN network failure affects data acquisition and transmission stability,a complete distributed fault tolerance scheme is proposed,which is divided into four stages: initialization,fault diagnosis,fault classification and fault tolerance.First,initialize the network and set up the cluster;then use the Fletcher checksum and timeout response mechanism to detect hardware and link faults in the fault detection phase,and use the Mann-Whitney U statistical test with significant probability values for software fault detection;then The Gaussian membership function is used to convert the measurement values of the software faulty nodes into the attribution probabilities of different fault categories,and the classification factors are used to classify them.Predict data for network failure recovery.The simulation results show that this method has great advantages in detection accuracy,data delay,network power consumption,and fault tolerance rate.According to the data collection requirements of smart buildings,the overall design of the monitoring system is carried out,the CC2530 node is used to develop the chip,the working program of the terminal node and the coordinator node is designed,the human-machine interface program design is carried out,and finally the WSN monitoring system is constructed,and the sensor node networking test is carried out.And the validity of the fault tolerance scheme in this paper is verified.To sum up,this paper studies low power consumption and fault tolerance in WSN,and conducts physical tests.Corresponding solutions are proposed for the high energy consumption,short service life of the network and the loss of the original monitoring function of the network caused by the network failure.Through physical verification and analysis of simulation results,it is proved that the method proposed in this paper is effective in terms of low power consumption and fault tolerance of WSN,prolongs the life cycle of WSN,and lays a solid foundation for better serving smart buildings.