Font Size: a A A

Research On Data Fusion Processing And Reliable Transmission In WSN

Posted on:2013-06-08Degree:MasterType:Thesis
Country:ChinaCandidate:R WangFull Text:PDF
GTID:2248330371994989Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Wireless Sensor Network as a transforming technology of the new age, through the real-time monitoring of the objects and collecting the information from the desired objects, is a new information acquisition platform, which can be used for military defense, environmental monitoring, intelligent house, etc and will have a widespread application foreground. Combination of the Internet of things in the future, will bring a more profound effect to the social life and promote the society ceaselessly.Wireless Sensor Network consists of a large number of tiny sensor nodes, which are randomly arranged in the monitored area. These nodes monitor the lived region with the help of the limited power, in the network environment, a mass of information collected from nodes should take the fusion processing, then jump to the sink node with single hop or multi-pop, finally transfer to the user, analysis and decide by the user.Firstly, wireless sensor network structure and features, etc are studied and analyzed, then analyzing kalman filtering method for Data fusion and PEGASIS(Power-Efficient GAthering in Sensor Information Systems), in this environment of PEGASIS, analyzing and studying the reliable transmission. In this paper, focus on processing the abnormal data and reliable transmission with link data. On the basis of the two aspects, improving and realizing for a better network performance.Data fusion processing. In wireless sensor network, the information collected maybe contain some abnormal data, vary normal data too much. If the abnormal data involve in the fusion processing, the accuracy will have certain effect. Comparing the methods, taking the appropriate data processing method for the abnormal data, then adopting kalman filtering method to take data fusion processing. Through the simulation experiment with Matlab, this method can avoid abnormal data on data processing results of the adverse impact, it can improve the data accuracy.Reliable data transmission. In the bad living environment for wireless sensor network, data transmission may exist some packet loss rate, this may cause the data loss, lead to the unreliable transmission. In the multi-pop environment of PEGASIS, adding the link retransmission mechanism to make retransmission not form end-to-end to save the transmission distance. Through the simulation experiment with Matlab, adopting the retransmission mechanism, data with packet loss rate can still deliver normally and reliably.Finally, summarize the work of this paper, and present the prospect of the later work.
Keywords/Search Tags:Wireless Sensor Network, Data Fusion, Kalman, Reliable Transmission, PEGASIS
PDF Full Text Request
Related items