Design And Implementation Of Wireless Sensor Network Monitoring System Based On Data Fusion

The wireless sensor network is a self-organizing network system with a large number of sensor nodes deployed in the detection region. In recent years, wireless sensor networks have been widely used in military filed, intelligent transportation, environmental monitoring, medical care and mine safety monitoring and so on. The number of wireless sensor network nodes is large, which are widely distributed in a complex situation, so it's a high cost to replace the battery. Then it's very useful to reduce the energy consumption in order to increase the network lifetime. Data fusion technology can fuse data to cut down the transfer of redundant information, and thus effectively lower the energy consumption of sensor networks to increase the lifetime of wireless sensor network.Reducing the transfer of information will inevitably cut down the accuracy of the data. How to reduce the data transmission under the premise of ensuring the accuracy of the data is a big challenge. A data transfer method is discussed here, which is a combination of kalman filter algorithm and time-domain data fusion model. And based on the method a wireless sensor network monitoring system is designed, which can effectively monitor the temperature, humidity, light information of the sensors and the communication status between the nodes in a small area. The system can be used to do some basic analysis of the data obtained and mine deep the data information, so that the sensor network researchers can rid themselves of the data collection and data test, thereby lower the cost of researching cost and shorten the development cycle.