Clustering frequency spectrum perception method based on energy consumption in cognitive sensor network

Abstract

The invention provides a clustering frequency spectrum perception method based on energy consumption in a cognitive sensor network. In the method, an LEACH clustering algorithm based on node energy is introduced. Firstly, the each node in the cognitive sensor network is divided into several clusters according to the clustering algorithm. Then, in the each cluster, a utility function, which can taken detection performance and energy consumption into consideration, is constructed. Based on the utility function, an optimum cooperation user number and a user are selected so that the detection performance and the energy consumption can reach a good compromise in the each cluster. Finally, an OR rule is used on a sink node so as to fuse perception information sent by a cluster head and then a final decision result can be obtained. By using the method of the invention, survival time of the cognitive sensor network can be effectively prolonged. Energy consumption of the network can be saved and the good detection performance can be guaranteed.

Description

Technical field [0001] The invention relates to a spectrum sensing method especially used for cognitive sensor networks, and belongs to the field of communication technology. Background technique [0002] Cognitive radio is a technology that improves spectrum utilization. It allows the secondary network (user) to borrow unused wireless spectrum from the primary authorized network (user), or use the spectrum with the primary authorized network (user). As an intelligent wireless communication system, one of the most critical parts of cognitive radio technology is spectrum sensing. Cognitive radio must constantly perceive the frequency band it uses to detect whether the main user is using this frequency band. Once the primary user is detected, cognitive radio must immediately withdraw the secondary user from this frequency band to minimize the possible interference to the primary user. The purpose of cognitive radio aimed at improving spectrum utilization makes it applicable in ma...

AI Technical Summary

Problems solved by technology

In order to solve the problem of hidden terminals, the number of cooperative sensing users must be sufficient, but participating in the detection will consume the energy of cognitive nodes. The more nodes participating in cooperative sensing, the faster the energy consumption of the cognitive network, and the survival time of the cognitive network shorter

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