Clustering cooperative spectrum sensing hard fusion method for cognitive wireless sensor network

Abstract

The invention discloses a clustering cooperative spectrum sensing hard fusion method for a cognitive wireless sensor network. All cognitive sensing nodes are clustered firstly, a cluster head of each cluster is selected, the cognitive sensing nodes achieve spectrum sensing according to the signal energy of a master user, local spectrum sensing information is acquired, then first-time fusion is carried out on all the local spectrum sensing information in the clusters through the cluster heads, the spectrum sensing information of the corresponding cluster is acquired, and finally fusion is carried out on the spectrum sensing information of all the clusters through a fusion center to obtain the final spectrum sensing information. Through cluster head screening and two times of fusion, the computation burden of the fusion center is reduced, and the effect of fast judging whether frequency spectrum is free or not and improving the correct probability of detection is achieved.

Description

technical field [0001] The invention relates to the field of wireless communication and signal detection, in particular to a cognitive wireless sensor network clustering cooperative spectrum sensing hard fusion method. Background technique [0002] Cognitive wireless sensor network is a new type of sensor network structure produced by the combination of cognitive radio technology and wireless sensor network technology. The network nodes in this network have the functions of spectrum sensing and dynamic selection of spectrum resources. When the frequency band is not in use, the idle frequency band is used for wireless communication, which greatly improves the spectrum utilization rate and alleviates the problem of the shortage of spectrum resources in the wireless sensor network. Therefore, how to efficiently and accurately perceive the idle spectrum is to improve the spectrum utilization rate and ensure information transmission. key to reliability. [0003] Cooperative sens...

AI Technical Summary

Problems solved by technology

[0003] Cooperative sensing can greatly improve the sensing performance, but exchanging sensing information between nodes will occupy system resources and cause transmission delay. Poor node joining can degrade the overall detection performance

[0004] The existing cooperative spectrum sensing methods do not fully consider the complexity of the node layout, the geographical location information of the network node layout and the simple topology information, and the fusion method adopted by it has high complexity and is not suitable for large-scale cognitive wireless sensor networks.

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