SOLVING RWA PROBLEM IN ALL-OPTICAL NETWORKS BASED ON OPTIMIZED ANT COLONY ALGORITHM
The information bandwidth growth can be achieved using optical networking technology. Optical fiber
has been used as a physical means through many network technologies. Wavelength Division Multiplexing
(WDM) has emerged as a promising technology to conquer the use of large-bandwidth in optical networks.
In WDM network, the essential problem is to serve the load traffic represented by the requests that arrive
at the network and need to be served. For serve the request, the network will determine a path paired with
a specific wavelength used to send the request's data from source to the destination node. This problem is
called the routing and wavelength assignment (RWA). In this work, Multi-Node Optimized Ant Colony
Algorithm (M-NOACA) proposed and implemented to solve the RWA problem in all-optical networks by
simulating traffic with the RWA algorithms. A performance measurements applied to study the
optimization problem of the RWA, and apply a comparison with the classic algorithms. Determining the
best collection of parameters for an ant-based algorithm to obtain the best performance remains an open
issue, in this work, a study is done to introduce a new contribution to obtain the optimal setting of Ant
Colony parameters used to solve the RWA problem.
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