Hasegawa, Hiroshi

Sato, Ken-ichi

Yagyu, Isao

We propose a hierarchical optical path network design algorithm. In order to efficiently accommodate wavelength paths in each waveband path, we define a source-destination Cartesian product space that allows the 'closeness' among wavelength paths to be assessed. By grouping 'close' wavelength paths, found by searching for clusters in the space, we iteratively create waveband paths that efficiently accommodate the wavelength paths. Numerical experiments demonstrate that the proposed algorithm offers lower total network cost than the conventional algorithms. The results also show that the hierarchical optical path network is effective even when traffic demand is relatively small

An Efficient Hierarchical Optical Path Network　Design Algorithm based on a Traffic Demand　Expression in a Cartesian Product Space

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An Efficient Hierarchical Optical Path Network Design Algorithm based on a Traffic Demand Expression in a Cartesian Product Space

Abstract

Similar works

Full text

Available Versions

Institutional Repositories DataBase (IRDB)

An Efficient Hierarchical Optical Path Network　Design Algorithm based on a Traffic Demand　Expression in a Cartesian Product Space