An Improved Ad-Hoc Routing Protocol for MANETs using Swarm Intelligence Technique

P. Sarika*, V. V. Rama Prasad**
* PG Scholar, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India.
** Professor and Chairman, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India.
Periodicity:August - October'2015
DOI : https://doi.org/10.26634/jmt.2.3.5950

Abstract

Mobile ad-hoc networks (MANET) are formed by a group of mobile nodes and does not have any fixed infrastructure. Due to the node mobility nature in MANETs, different routing challenges such as, power constraints, link failures, and path breakages occur. Many routing protocols both proactive and reactive have been implemented to solve the routing challenges, but these protocols cannot defeat these issues in a complete manner. Researchers made an attempt to research on swarm intelligence based nature inspired algorithms to defeat the routing problems faced by the mobile ad-hoc networks. In the existing approach, BAT optimization which is a swarm intelligence technique was used to find the best path for Ad-hoc On-demand Multipath Distance Vector (AOMDV) protocol based on link availability and neighbour node queuing delay. But, this approach does not maintain a balanced control packet overhead. So, in this paper Bee Inspired routing Protocol (BeeIP) is proposed to provide multipath routing for mobile ad-hoc networks. BeeIP is a swarm intelligence based routing technique, which uses the honey bee forager behavior. Simulation results show that, the proposed approach BeeIP outperforms the BAT-AOMDV in terms of network performance metrics such as, packet delivery ratio, control overhead, average end to end delay.

Keywords

AOMDV, BAT Optimization, Swarm Intelligence, Routing Challenges.

How to Cite this Article?

Sarika, P., and Prasad, V.V.R. (2015). An Improved Ad-Hoc Routing Protocol for MANETs using Swarm Intelligence Technique. i-manager’s Journal on Mobile Applications and Technologies, 2(3), 21-29. https://doi.org/10.26634/jmt.2.3.5950

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