Fusion method for WSN (Wireless Sensor Network) tree type clustering data based on CR (Cognitive Radio)

Abstract

The invention relates to a fusion method for WSN (Wireless Sensor Network) tree type clustering data based on a CR (Cognitive Radio), belonging to the field of application of wireless sensor networks. According to the fusion method, a network is divided into a plurality of clusters, wherein each cluster comprises a cognitive cluster head node with a cognitive radio function and a plurality of sensor nodes; the cluster is maintained by sensing and reasoning of the cluster head node to the environment to form a tree type network; the cluster is managed by the cluster head node; nodes in the cluster can be used for only maintaining the connection between last-stage nodes and next-stage nodes; the cluster head nodes are connected by an AdHoc mode through a gateway and a monitoring center; the data fusion is realized by transmitting data to father nodes of the nodes in the cluster by the nodes in the cluster; the data are fused on the father nodes and then are transmitted to the last-stage nodes; the fused data are fused again and then are transmitted upwards; and the data fusion is a process of gradually operating from each branch of the trees along the tree and finally reaching a root node. The fusion method disclosed by the invention has the excellent benefits of low energy consumption of the network, short time delay and high reliability.

Description

technical field [0001] The invention relates to an energy-saving data fusion method applied to a wireless sensor network, in particular to a tree-type clustering data fusion method based on cognitive radio technology, which belongs to the application field of wireless sensor networks. . Background technique [0002] Wireless sensor network (wireless sensor network, WSN) is composed of a large number of cheap miniature sensor nodes and sink nodes (Sink nodes) deployed in the monitoring area. The sensor nodes conduct real-time monitoring, Perceive and collect information of various environments or monitoring objects, and return the observed values ​​to the sink node. One of the characteristics of wireless sensor network (WSN) is its limited energy and bandwidth. Different from other network nodes, wireless sensor nodes must extend their lifetime by optimizing energy-saving strategies. Since the energy consumption of node data sending and receiving far exceeds the calculatio...

AI Technical Summary

Problems solved by technology

However, due to the limitations of the underlying technology, the routing technology of the existing wireless sensor network has low performance, especially multi-path routing, especially the limited resources of wireless sensor nodes. To manage and maintain the routing information of the entire network will inevitably increase the transmission information of each node. amount, resulting in low efficiency and energy saving of data fusion

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