Hybrid Differential Evolution Based Probabilistic Model to Support Quality Aware Best Path Routing Scheme for Mobile Adhoc Networks
Priya1, P. Suganthi2

1Priya, Research Scholar, Department of Computer Science, NKR Government Arts College for Women, Namakkal (Tamil Nadu), India.
2Dr. P. Suganthi, Head Assistant Professor, Department Computer Science, N.K.R. Government Arts College for Women, Namakkal (Tamil Nadu), India.
Manuscript received on 20 January 2020 | Revised Manuscript received on 02 February 2020 | Manuscript Published on 05 February 2020 | PP: 250-258 | Volume-8 Issue-4S5 December 2019 | Retrieval Number: D10531284S519/2019©BEIESP | DOI: 10.35940/ijrte.D1053.1284S519
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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: The Mobile Ad hoc Networks (MANETs) today represent a new system containing wireless mobile nodes to dynamically and freely organize the topologies of the network without having any communication infrastructure. Owing to the traits such as temporary topology and the absence of a proper centralized authority routing can be a very important issue faced by the ad hoc networks. This multipath routing algorithm has established various paths between the source node and its destination node thus spreading traffic load along various routes. This will be able to alleviate congestion of traffic on a particular path. Thus, the multipath routing algorithms were able to provide route resilience that ensured data transmission reliability. For the purpose of this work, there was a multipath routing scheme which is called the Ad hoc On-demand Multipath Distance Vector Routing (AOMDV) Protocol. This was proposed by means of employing a hybrid Fire Fly (FF) with Differential Evolution (DE) algorithm. This approach was able to achieve better, as well as, reciprocal advantages in a dynamic and hostile network situation. Thus, the proposed scheme of routing was a very powerful method to find effective solutions to MANET routing problems. The proposed method is a well-known probabilistic metaheuristic algorithm to improve the quality aware best path routing protocol. Simulation results indicate that the proposed method FF-DE achieves better performance than AOMDV and FF.
Keywords: Ad hoc On-demand Multipath Distance Vector Routing (AOMDV), Differential Evolution (DE) Algorithm, Fire Fly (FF) Algorithm and Mobile Ad Hoc Networks (MANETs).
Scope of the Article: Mobile Adhoc Network