Research Article | OPEN ACCESS
Performance Evaluation of OLSR Using Swarm Intelligence and Hybrid Particle Swarm Optimization Using Gravitational Search Algorithm
1S. Meenakshi Sundaram, 2A. Ramesh Babu and 3S. Palani
1Department of C.S.E., M.A.M. School of Engineering
2Department of Computer Applications, Saranathan College of Engineering, Tiruchirappalli, India
3Department of E.C.E., Sudharsan Engineering College, Pudukkottai, India
Research Journal of Applied Sciences, Engineering and Technology 2014 15:3126-3133
Received: October 09, 2013 | Accepted: November 16, 2013 | Published: April 19, 2014
Abstract
The aim of this research is to evaluate the performance of OLSR using swarm intelligence and HPSO with Gravitational search algorithm to lower the jitter time, data drop and end to end delay and improve the network throughput. Simulation was carried out for multimedia traffic and video streamed network traffic using OPNET Simulator. Routing is exchanging of information from one host to another in a network. Routing forwards packets to destination using an efficient path. Path efficiency is measured through metrics like hop number, traffic and security. Each host node acts as a specialized router in Ad-hoc networks. A table driven proactive routing protocol Optimized Link State Protocol (OLSR) has available topology information and routes. OLSR’s efficiency depends on Multipoint relay selection. Various studies were conducted to decrease control traffic overheads through modification of existing OLSR routing protocol and traffic shaping based on packet priority. This study proposes a modification of OLSR using swarm intelligence, Hybrid Particle Swarm Optimization (HPSO) using Gravitational Search Algorithm (GSA) and evaluation of performance of jitter, end to end delay, data drop and throughput. Simulation was carried out to investigate the proposed method for the network’s multimedia traffic.
Keywords:
Ad hoc network, gravitational search algorithm, Hybrid Particle Swarm Optimization (HPSO), multimedia traffic, Optimized Link State Routing (OLSR),
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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