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

A cognitive wireless sensing and cooperative spectrum technology is applied in the field of cognitive wireless sensor network clustering and cooperative spectrum sensing hard fusion, which can solve the problems of large-scale cognitive wireless sensor networks, high communication overhead, and low detection. Performance and other issues to achieve the effect of improving spectrum utilization, reducing the probability of misjudgment, and improving detection performance

Inactive Publication Date: 2015-03-25
SOUTHEAST UNIV
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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.

Method used

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

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Embodiment Construction

[0030] Below in conjunction with embodiment the present invention will be further described.

[0031] Such as figure 1 As shown, the primary user network and the secondary user network are partially overlapping geographical areas and share the same spectrum resources. The topological structure of the primary user network is centrally controlled, and the primary user terminal 1 is controlled by different cell base stations 2 in the network. The slave user network is the cognitive wireless sensor network involved in the present invention, wherein the slave user terminal is the cognitive sensor node 3 . Since the topology of the user network is clustered, the cognitive sensor node 3 perceives whether a certain frequency spectrum in the coverage area is free, and the cluster head 4 is from the cognitive sensor node 3 in each cognitive sensor cluster. selected.

[0032] Such as figure 2 As shown, the cognitive sensor node CR, as the basic node of the cognitive wireless sensor ...

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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...

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Application Information

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IPC IPC(8): H04W24/00H04W84/18
CPCH04W24/00H04W84/18
Inventor 宋铁成郭洁胡静顾斌夏玮玮沈连丰
Owner SOUTHEAST UNIV
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