Route designing method of cognitive radio mesh network

Abstract

The invention relates to a route designing method of a cognitive radio mesh network. The method mainly comprises the following three steps (see an attached map): first, establishing a novel cognitive radio mesh network distributed layered graph model; then, updating a route list by introducing an ant colony algorithm and providing a novel ant colony algorithm z Ant Net which is adapted to the structure and the data flow distribution of the cognitive radio mesh network; afterwards, conducting data transmission and carrying out analog simulation on a mesh network client end node to be in communication with the Internet through a route; and finally sorting the designing method and providing specific data and graphs of the method to be used as an overall result of the network route designing method at the time so that displaying evidence and reference can be supplied to users. Based on the tense present condition of network spectrum resources, the route designing method of the cognitive radio mesh network fully takes time, space factors and frequency spectrum parameters into account aiming at the dynamic spectral characteristic of the cognitive radio mesh network, and adaptive design is conducted on route interface distribution and routing strategy.

Description

technical field [0001] The present invention relates to a routing design method of a cognitive wireless Mesh network, to be precise, relates to a distributed layered graph model of a cognitive wireless Mesh network, and introduces an intelligent group algorithm for network interface allocation and routing strategies A method for adaptive design belongs to the field of cognitive radio technology. Background technique [0002] Cognitive radio, as an intelligent spectrum sharing technology, utilizes the gaps between spectrums, that is, spectrum gaps for dynamic spectrum access, dynamic transmission, and dynamic switching. It has achieved information transmission in crowded spectrum spaces and improved spectrum space utilization. [0003] Cognitive wireless Mesh network can realize the cognition of wireless environment and the integration of heterogeneous networks. It has great advantages in flexible networking, improving network coverage, increasing network capacity, and reduci...

AI Technical Summary

Problems solved by technology

[0007] The existing cognitive wireless Mesh network routing technology mainly has the following shortcomings: (1) The routing technology is not comprehensive enough. The routing technology of the traditional network does not consider how nodes determine the working channel and how to achieve load balancing between channels, etc., and cannot adapt well The dynamic nature of the network spectrum and therefore the inability to maximize network capacity

(2) The routing technology is not smart enough, and the monotonous use of the hierarchical graph model cannot adapt to the large-scale online users, discovering and updating the appropriate routing

(3) The routing technology is not perfect, and the frequent changes of spectrum holes will lead to the destruction of the network path, making the network performance decline

No means of emergency recovery in place in case of an emergency such as a network outage

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