Sparse Wavelength Conversion In Wdm Optical Networks The Blocking Probability Algorithm

With the explosive increase in network traffic and the emergence of high performance optical network devices, such as optical cross-connect (OXC) and optical add/drop multiplexer (OADM), wavelength division multiplexing (WDM) technology becomes the core technology of next generation backbone networks. Because this technology can fully utilize the enormous bandwidth of the optical fiber to transfer the data, the price for transfer data can be greatly decreased. This enables it to be the most attractable technology in wide backbone network. It is predicted that in the near future, the WDM technology will be greatly used in other networks.In WDM network, the technology of wavelength conversion is a key technology, but it is always the focus of the contention. Although the wavelength conversion can improve the performance of network, simple the control of network and so on, it is difficult to manufacture the ideal all-optical wavelength converter due to the limit of the technology. And more the technology is now in the laboratory, when it is on commercial use, the price will be very expensive. How to overcome the shortcoming of the technology? The technology of manufacturing the wavelength converter with limited-range conversion range and the sparse distribution of the wavelength converter are under research.Based on many articles both at home and abroad, this paper analyses the blocking probability in WDM networks with limited-range wavelength conversion. Firstly we introduce two new models named the independence model and the correlation model to analyse the blocking probability for the limited-range wavelength conversion network. Secondly we introduce the independence model to analyse the sparse wavelength conversion case. Then we compute the mean blocking probability for a whole network and discuss some network topologies in common use. At last we establish a platform using C/C++ language to simulate the blocking probability of networks. We draw a conclusion for our study at the end of the paper.