Investigations on applicability of meta-heuristics for survivability of WDM optical networks

Abstract

Wavelength division multiplexing (WDM) technology have increased the optical fibre bandwidth to THz and beyond by multiplexing number of wavelengths in a fibre. Survivability is of prime concern in high-speed networks as any single failure in WDM optical networks leads to tremendous information and revenue loss. These networks demand optimum planning. In the paper, the networks are configured with pre-planned traffic model. Ant colony optimisation (ACO), genetic algorithm (GA) and simulated annealing (SAN) meta-heuristics are applied in networks with link and node failures with an objective to minimise network congestion. The novelty of the work lies in investigations of network performance under failures with different optimisation techniques and proposed traffic model. This work can assist in optimising overall network planning of survivable networks. It is observed that GA optimisation has reduced network congestion for network under failure. Least variation in congestion for different failures is also obtained for GA meta-heuristic.