Multi-Objective based Adaptive Meta-Heuristic Algorithm for Optimal Multicast Route Selection in Wireless Ad-Hoc Network
1Rajkumar.K1*, Research Scholar, Dept. of Computer Science and Engineering , Noorul islam Centre for Higher Education, Kumaracoil, Tamilnad, India.
2Dr.M.K.Jeyakumar2, Professor, Dept. of Computer Applications, Noorul islam Centre for Higher Education, Kumaracoil, Tamilnadu. India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 6721-6729 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2005109119/2019©BEIESP | DOI: 10.35940/ijeat.A2005.109119
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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 Ad-hoc Network (MANET) built by a lot of mobile nodes which are communicated over remote channel without having any centralized administration and fixed infrastructure. Multicasting is a method to forward a data packet from one node to a number of receivers’ node at a time. There are different challenges in a MANET because of restricted resources and dynamic network topology. Because of the node mobility, performance metrics of the network such as energy, delay, and bandwidth make uncertainty problems in MANET. These uncertainty problems affect the performance of optimal path selection between the source node and the number of destination nodes. So, in this paper, multi-objective based adaptive meta-heuristic algorithm is presented for optimal multicast route selection in MANET. Among the multicast routing paths, optimal routing path is selected using adaptive artificial fish swarm algorithm (AAFSA). For fitness calculation, three objective functions based on energy, delay and bandwidth are derived in this algorithm. Simulation results show that the performance of the proposed multicast routing protocol outperforms existing multicast routing protocols in terms of delivery ratio, delay, energy consumption and network lifetime.
Keywords: Mobile Ad-hoc Network (MANET), Multicasting, optimal routing path, adaptive artificial fish swarm algorithm.