A comprehensive optimization method for wdm optical network rwa based on ant colony algorithm
A technology of ant colony algorithm and optimization method, applied in the direction of data exchange network, optical multiplexing system, multiplexing system selection device, etc., can solve the problem of multiple optical channels occupying the same link, large number of wavelengths, High blocking rate and other problems, to achieve the effect of improving network service carrying capacity, high solution quality, and good network load balance
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[0082] Take the G network as an example. The network has 16 nodes and 25 links, and its topology is randomly generated, such as image 3 Shown. During simulation, the demand space will be randomly generated by the program, where the same node pair may generate multiple connection requests. This situation can be mapped to a business with a large bandwidth demand in the actual network. Taking the classic heuristic algorithm shortest path-most used (SPMU) as a reference, the results of the ACO-based RWA comprehensive optimization method for WDM networks proposed by the present invention are compared with them. Among them, the parameters of ACO are shown in Table 1.
[0083] The network service blocking rate is calculated with reference to the following formula:
[0084] Congestion rate = (total business-business that the plan meets) / total business * 100%
[0085] (1) The size of the set demand space is proportional to the number of network wavelengths. Considering the relationship betw...
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