A Multi-Objective Optimization Algorithm for Routing Path Selection and Wavelength Allocation for Dynamic WDM Network using MO-HLO
Hamsaveni M1, Savita Choudhary2

1Hamsaveni M*, Assistant Professor, Department Computer Science & Engg., Vidyavardhaka College of Engineering, Mysuru, India.
2Dr. Savita Choudhary, Associate Professor Department of Computer Science & Engg, Sir MVIT, Bengaluru, India.

Manuscript received on April 10, 2021. | Revised Manuscript received on May 26, 2021. | Manuscript published on June 30, 2021. | PP: 111-118 | Volume-10 Issue-5, June 2021. | Retrieval Number:  100.1/ijeat.D24440410421 | DOI: 10.35940/ijeat.D2444.0610521
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Abstract: The data transmission system in the optical WDM network increases the speed of packet transmission by the wavelength of light beams . The Selection of the wavelength and the shortest path to transmit the packets form source to destination is a challenge in a large network architecture. To solve these two problems, the optimization model must handle both the objectives. In this paper we are proposing a novel multi-objective optimization algorithm to solve both the problem of wavelength allocation and shortest path identification in a WDM network. This can be achieved by the enhanced model of Multi-Objective Hunger Locust Optimization algorithm (MO-HLO). In this, it analyse traffic level in a network path and the availability of wavelength present at each time instant. The proposed system retrieves the parameters of network architecture and with the weight value of dynamic traffic occur in the routing path. Among these data, the optimization selects the best among overall feature set of the WDM arrangement. The MO-HLO algorithm extracts the combination of each attribute to form the cluster that segregates the routing path along with the traffic range. From the fitness of the objective function of MO-HLO, the best routing path and the availability of wavelength for a node can be analysed at each time instant.
Keywords: Wavelength Division Multiplexing (WDM), Optimal routing system, Multi-Objective Hunger Locust Optimization algorithm (MO-HLO). The proposed system retrieves the parameters of network architecture and with the weight value of dynamic traffic occur in the routing path.