Reliability Research Of Wireless Sensor Networks Based On Tinyos Under Extreme Circumstances

The reliability of wireless sensor monitoring system data transfer is severely affectedby the stored water of Three Gorges Reservoir after extreme thunderstorms. The study ofexisting data transmission reliability in wireless sensor networks mainly focused on theimpact of routing competition, geographical environment and node energy in large-scaleintensive wireless sensor network on the reliability of the nodes, while the monitoringsystem in a complex field of environment such as strong electromagnetic field andfields of extreme weather conditions, often leads to network packet loss, error code or dataoverflow problem, which results in problems of decreased reliability.This paper analyzes the impact of thunderstorms for data transmission, such asoverflow, errors, packet loss and other factors in wireless sensor networks, firstly usingZigbeX as experimental platform, and using "1-wire" communications protocol writingapplications based on TinyOS to guarantee end-to-end reliable transmission of nodes withno interfere. According to the analysis of simulating thunderstorms and strongelectromagnetic interference experiment, there are more serious loss packets, errors, delayand other problems in wireless sensor networks in the case of interference. Therefore,combining the communication system reliability with coding theory, and using compressedsensing technology in the channel coding transport which has a significant impact on theperformance of the entire system, the method performed by the front-end processing of thedata, the encoded data is added to each serial number, and dynamically adjusting theamount of bits according to the size of the serial number of the radio channel conditions toreduce the data load. The improved Bernoulli matrix will be as a measurement matrix inthe coding scheme, effectively reducing the redundancy and error rate of data to ensure thereliability of data transmission based on the realization of the maximum efficiency of datatransmission.Experimental results show that the overflow rate and error rate in extremeenvironments have been greatly improved. The program can not only improve thereliability of end-to-end data transmission, but by compressed sensing frame samplingcoding, redundancy is reduced and the efficiency of data transmission is improved, itspracticality and anti-jamming ability has been effectively improved over conventional transmission method. Therefore, the program has great value and engineering significance,and its prospects are good.