Route selection method for intelligent self-perception optical network base on network status

Abstract

The invention discloses a route selection method based on the sense of the network status, which is used in the intelligent self-sensing network. When the traffic transmitted in the network becomes larger and larger, the service category carried becomes more and more, the different types of service have the different characteristics, and the demands on the network also are different. In the self-sensing optical network, the optical network can distinguish the category of the service to be accessed, judge the characteristics and the demands on the optical network according to the service categories, and choose the different transmission route for the different service based on the characteristics and the demand, thereby achieving the optimal allocation of network resource based on the service demand. The invention can solve the transmission guarantee problem of the different services in the network, make full use of the own link resource, meet the personalized demand of the different services on the network, adapt to the high-quality and high-efficient transmission for large quantities of new services.

Description

technical field [0001] The invention relates to a routing selection method based on network state perception, in particular to a routing selection method based on network state perception in an intelligent self-aware optical network, and belongs to the technical field of optical communication networks. Background technique [0002] With the advent of the information society, network applications are rapidly popularized, and new network applications are continuously launched. Since different application services have different requirements for the network, the network needs to improve the performance of various aspects to meet the requirements of various services. As an optical network at the transmission level, its advantages of large-capacity and high-speed transmission have been reflected, but the intelligent control that has been realized in the traditional electrical network has not been extended to the field of optical networks. Therefore, how to introduce intelligence i...

AI Technical Summary

Problems solved by technology

[0004] The current optical network is still at an early stage in the progress of intelligentization. The most representative ASON / GMPLS only provides the automatic optical switching function based on wavelength granularity, and cannot complete the autonomous perception and monitoring of network services, network status and other information. Optimization and other functions

Therefore, the above-mentioned new problems and problems faced by the optical network cannot be well solved and dealt with in ASON / GMPLS, and the optical network cannot meet the needs of new services, and it is urgent to further evolve towards intelligence

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