High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Improved Quality of Services in Mobile Ad Hoc Networks (MANETs) using Evolutionary Algorithms


Prof.Umang H. Soni , Parul Institute of Engineering and Technology, Vadodara; Mr.Kaushal S. Shah, Parul Institute of Engineering and Technology, Vadodara


Mobile Ad Hoc Networks (MANETs), Quality of Services (QOS), Genetic Algorithm (GA), Partial Swarm Optimization (PSO), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC).


Path selection process is one of the critical tasks in MANETs. After finding the best path QOS is basic requirement of any network. In this paper for improving QOS we use different Optimization Algorithm like GA, PSO, ACO, and ABC. These all Optimization Algorithms are based on Evolutionary Algorithm and principle of Swarm Intelligence. Some known examples of swarms are bird flocks, fish schools and the colony of social insects such as terminates ants and bees. Use of these insect's intelligent - Evolutionary Algorithms (GA, PSO, ACO, ABC, etc) are developed to solve a computational and complex problem in different area. Entomologists studied SI behavior of insects to model biological swarms, and engineers applied these models as a framework for solving complex real-world problems.

Other Details

Paper ID: IJSRDV1I12004
Published in: Volume : 1, Issue : 12
Publication Date: 01/03/2014
Page(s): 2573-2576

Article Preview

Download Article