Multi-Criteria based Ant Colony Optimization to Improve Quality of Services of Manets
Anubha1, R P S Bedi2
1Anubha*, Pursuing Ph. D in in I.K. Gujral Punjab Technical University, Kapurthala.
2Dr. Ravneet Preet Singh Bedi, Serving as Joint Registrar in I.K. Gujral Punjab Technical University, Kapurthala.
Manuscript received on February 10, 2020. | Revised Manuscript received on March 01, 2020. | Manuscript published on March 10, 2020. | PP: 1528-1533 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2536039520/2020©BEIESP | DOI: 10.35940/ijitee.E2536.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Mobile Adhoc Networks (MANETs) is one of the fastest growing research areas in the field of communications technologies. The constant movement of the nodes in such networks leads to topological changes which causes link breakages among the nodes. The existing work focuses on optimizing the path from source to destination using simple ant colony optimization without focusing on improving the energy consumption or reducing the link breakages. The proposed work considers different parameters such as Pheromone Value, Euclidean distance, Residual energy and mobility of the nodes into account while optimizing the route of the mobile ad hoc network. The proposed system has been implemented using NS2 and the performance has been analyzed based on remaining energy of the network, packet drops, packet delivery ratio, throughput and end to end delay. Experimental results indicate increased performance of the network against current techniques.
Keywords: Mobile Ad Hoc Network, Ant Colony Optimization, Pheromone Value, Euclidean Distance, Residual Energy
Scope of the Article: Discrete Optimization