Routing method for distributed cognition radio network based on layer-striding design

A cognitive radio and cross-layer design technology, applied in wireless communication, electrical components, transmission monitoring, etc., can solve problems with high time complexity and unsuitability for practical applications, and achieve low time complexity without loss of accuracy, The effect of adjacent hop interference optimization

Inactive Publication Date: 2009-05-20
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

The literature only studies the conflict avoidance problem theoretically, but its high time complexity is not suitable for practical applications

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  • Routing method for distributed cognition radio network based on layer-striding design
  • Routing method for distributed cognition radio network based on layer-striding design
  • Routing method for distributed cognition radio network based on layer-striding design

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Embodiment Construction

[0044] The specific implementation is as follows:

[0045] (a) The establishment of colored multi-graph model: each channel is given a unique color identification. If two nodes are within the transmission range of each other and there are currently public channels available, they are each other's potential neighbor nodes. To construct a colored multigraph is to connect edges between each pair of potential neighbor nodes and color the edges with the colors corresponding to their common channels. In this way, a colored multigraph G=(V, E) reflecting the network topology and the currently available channels is obtained, where V represents the vertex set, corresponding to the node set in the network, and E represents the edge set, corresponding to the link set in the network . Define the weight function w: E(G)→R + And the color labeling function k: E(G)→{Ch1, Ch2,..., ChN}. The weight function is a function defined on the edge set of the graph G, and the value range is a set of posit...

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Abstract

The invention discloses a method for distributed type cognitive radio network routing based on cross-layer design, which belongs to the technical field of cognitive radio network. The method comprises the following steps: establishing a coloring multi-graph model according to useable frequency spectrum information acquired by node perception; transferring a cross-layer design routing algorithm to search the routing between a source node and a target node, and simultaneously selecting communication signal channels between adjacent nodes; and updating the topology of coloring multi-graph and interface number of the nodes. The routing method adopts the cross-layer design on the routing selection of a network layer and an MAC layer, and concretely optimizes routing hop number and adjacent hop interfere under the condition of lower time complexity. The method is applicable to radio network, next generation heterogeneous network and so on.

Description

Technical field [0001] The invention relates to a routing selection between nodes in a distributed cognitive radio network, and in particular provides a routing method for a cognitive radio network based on a cross-layer design. Background technique [0002] The distributed cognitive radio network is composed of peer nodes with spectrum sensing function. Each node can perceive the idle spectrum and make full use of the perceived idle spectrum for communication without interfering with authorized users to improve spectrum utilization. The routing method is used to establish information transmission paths between nodes and select intermediate nodes that need to forward information. The spectrum dynamics of the cognitive radio network determines that its routing requires cross-layer design. [0003] Due to the dynamic nature of the available spectrum in a cognitive radio network, none of the existing wireless network routing protocols can be directly applied to the network. At prese...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W40/02H04W40/16H04B17/00H04W24/02
Inventor 周贤伟王建萍刘涛林琳王超杨裕亮
Owner UNIV OF SCI & TECH BEIJING
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