Performance Evaluation of Ant Colony Optimization Based Routing Algorithms for Mobile Ad Hoc NetworksKhushneet Kaur Batth1 and Rajeshwar Singh2*
- *Corresponding Author:
- Rajeshwar Singh
Department of ECE
Doaba Khalsa Trust Group of Institutions
Tel: +91 9501210440
E-mail: [email protected]
Received Date: February 10, 2017; Accepted Date: March 02, 2017; Published Date: March 15, 2017
Citation: Batth KK, Singh R (2017) Performance Evaluation of Ant Colony Optimization Based Routing Algorithms for Mobile Ad Hoc Networks. Int J Adv Technol 8:181. doi:10.4172/0976-4860.1000181
Copyright: © 2017 Khushneet, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License; which permits unrestricted use; distribution; and reproduction in any medium; provided the original author and source are credited.
Mobile Ad Hoc Network is a collection of autonomous mobile nodes that communicate with each other over wireless links without any fixed infrastructure. The nodes use the service of other nodes in the network to transmit packets to destinations that are out of their range. Such networks are expected to play increasingly important role in future organizations, University, Civilian and Military settings, being useful for providing communication support where no fixed infrastructure exists. Also, in case of disaster or natural calamities, the deployment of a fixed infrastructure is neither feasible nor economically profitable for establishing communication among the rescue members. In order to accomplish this, a number of routing protocols are being proposed by researchers. Ants based routing is gaining more popularity because of its adaptive and dynamic nature. A number of Swarm Intelligence (SI) based, more specially Ant Colony Optimization (ACO) based routing algorithms are proposed by researchers. Each one is based on different characteristics and properties. In this paper, we take up three ACO based algorithms and simulate the proposed algorithms using NS-2 and compare the performance matrices as Packet Delivery Fraction (PDF), throughput and routing overhead for varying simulation time.