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     Research Journal of Applied Sciences, Engineering and Technology


Predictive Energy Efficient and Reliable Multicast Routing In MANET

Kavitha Subramaniam and Latha Tamilselvan
Department of Information Technology, School of Computer, Information and Mathematical Sciences, B.S. Abdur Rahman University, Chennai, Tamilnadu, India
Research Journal of Applied Sciences, Engineering and Technology  2015  9:706-714
http://dx.doi.org/10.19026/rjaset.9.2615  |  © The Author(s) 2015
Received: August ‎31, ‎2014  |  Accepted: November ‎10, ‎2014  |  Published: March 25, 2015

Abstract

In Mobile Adhoc Networks (MANETs), multicast routing is favorable to minimize the cost of transmission as it routes data to a group of destinations simultaneously. However, the main aim of multicast routing is to maintain energy efficiency, ensure minimum delay and stability of paths. In this study we propose to develop a Predictive Energy efficient and Reliable Multicast Routing using Particle Swarm Optimization (PSO) in MANET. The technique uses PSO algorithm to construct energy efficient and reliable multicast tree. The fitness function of PSO algorithm is designed considering path delay, expected path energy and path stability. The proposed algorithm is simulated in NS-2. The simulation results proved that the proposed algorithm offers energy efficient and reliable multicast routing with low overhead.

Keywords:

Mobile Adhoc Networks (MANETs) , multicast routing , PSO algorithm,


References


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.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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