Research On Data Aggregation Technologies And Application Of WSN

With the rapid development and increasingly sophisticated of communication technology, embedded computing technology and sensor technology, with perception, computing and communication capabilities of micro-sensors began to appear in the world. Wireless sensor networks which constituted by these micro-sensors and communicated wirelessly aroused great concerning. This wireless sensor networks can be monitored in real time through a collaborative approach, perception and collecting information about various environmental objects or monitoring the distribution network within the region and send the information to the needs of these users. However, the energy of sensor nodes in the wireless sensor networks is limited. Therefore, wireless sensor networks would be unable to provide services when the energy of nodes run out.In order to improve the lifetime of the network, we need to study the efficient using the limited energy of sensor nodes. While data fusion technology just is to process obtained data of sensors and the purpose is to reduce the amount of network traffic, access to detailed and accurate data. Thus, it becomes the important research topic of wireless sensor networks.In this paper, it had deeply analysed the existing based on static clustering and dynamic clustering data fusion mechanism, and directed diffusion routing and based hierarchical structure data fusion technologies. In these existing data fusion mechanism, there are some problems. Then, it had proposed a combination static and dynamic clustering data fusion and based on hierarchy structure energy-balanced data fusion mechanism. Finally, the experiment platform was introduced and studied the application of wireless sensor network data fusion technology in coal mining equipment field diagnostic system of data collection. The results showed that it achieved the desired results.