A Mixture Approach of Data Fusion and Reliability in Wireless Sensor Network

At present, multi-information fusion and compressive sensing arouse more and more research interest of people in the field of wireless sensor network. In wireless sensor network, due to the characteristics of limited energy and large quantity of nodes, it is unable to reduce network data traffic effectively through information simplification of monitoring data. In this paper, we divide the sensor network into layer structure, that is to say, the cluster head node and the node within the cluster, proposing the strategy for compressing the information within the node. After the data is processed by the cluster distribution and then is passed back to data center. The network data traffic can be obviously reduced so as to increase network life cycle. Moreover, we compare the reliability by analyzing the spectral density of the adjoining matrix of the backbone nodes. Meanwhile, relevant theoretical research on the reliability of backbone nodes of sensor network is also conducted. Copyright © 2013 IFSA.