Data Analysis And Display System Of Wireless Sensor Networks Based On TinyOS

In recent years, the sensor technology continues to progress, and promote the rapiddevelopment of low-power, multi-functional sensor. Wireless Sensor Network (WSN) iscomposed of a large number of wireless sensors attract more and more attention because Itcan do real-time monitoring, environment data collection through collaborative working. Withthe development and widely use of WSN and the widely awareness of the importance ofenvironmental issues, we can use WSN to collect environment data to monitor theenvironment analyze and forecast environmental information, to solve practical problemsfaced.With the increase amount of data in data collection, how to analysis and utilize the dataand more efficiently do the decision support is the main topic of data mining technology.Artificial neural network in data mining is a commonly used method, neural network learnthrough samples to do the data classification and prediction, apply artificial neural networkalgorithm to the wireless sensor networks, we can better analyze the data of sensor network.Based on the current research status review, the article studied the TinyOS operating systemfor wireless sensor networks, artificial neural networks, environmental information analysisand prediction and the related theories, combined the sensor network with data miningtechnology, the article proposed a perception of the technical data display system model, andanalysis the model, including the logical hierarchy of the system, the system structure andfunction modules. Then focus on the specific application of neural network technology in theanalysis and prediction of environmental information. Finally, use the JAVA program toimplement the data analysis and display system, and verify the accuracy of the neural networkalgorithm.