J. Kumarnath and K. Batri
H-PSO: A Secure Route Optimization Model for Link Fault Detection in Optical Networks
Dynamic Systems and Applications 30 (2021) No. 11, 1683 – 1697

https://doi.org/10.46719/dsa202130.11.01

ABSTRACT.
In this paper, a new Fault detection and network survivability method is presented based on Enhanced particle swarm optimization (PSO) technique intended for the optical networks. The Heuristic H-PSO algorithm developed from particle Swarm optimization, and it is used for locating the failures position through finding the fitness value of the aforementioned links. The greedy algorithm is used for wavelength assignment. The novelty of this work exists in the form of fitness function that uses bandwidth availability and packet delay as a parameter metrics that ensures the quality of the link paths.  As a result, it determines the non-functioned links and the components. This algorithm gives interesting results that verify the logical optics topology that requires to be sustained over the physical network despite of great traffic tenseness. The proposed algorithm is validated considering practical tests with the use of Network Simulator (NS) – 2 by patching OBS in Mesh topology. Results obtained through this optimization model shows promising and superior result with respect to Blocking Probability, End to End delay, Throughput and Burst Loss Rate. Numerical Result shows that there is a decrease in Blocking Probability, End to End delay and Burst Loss Rate in turn shows predominant increase in Throughput compared to E-OBS, E-BSL and E-BSL D methods.

Keyword: Failure Detection, Particle Swarm Optimization, blocking probability, Burst loss.