Authors: Subhankar Joardar; Vandana Bhattacherjee; Debasis Giri
Addresses: Department of Computer Science and Engineering, Haldia Institute of Technology, Haldia, 721657, India ' Department of Computer Science and Engineering, Birla Institute of Technology, Ranchi, 834001, India ' Department of Computer Science and Engineering, Haldia Institute of Technology, Haldia, 721657, India
Abstract: The major cause of network congestion is the irrational allocation of network resources. The solution is to make more effective use of the network resources by adjusting the traffic probabilistically. In this paper, we propose SiCaL, an algorithm for routing in MANETs. The algorithm is based on nature inspired ant colony optimisation framework. Using SiCal, the algorithm will identify the congestion areas among nodes to the destination to avoid the congestion in the intermediate links and also minimise the packet loss in the network. In this scheme, we develop a mathematical model considering the swarm-based ant intelligence, which provides an efficient congestion control routing mechanism. With a set of simulation experiments, we compare SiCal with AntHocNet, a reference algorithm in this research area. We show that our algorithm SiCal can better perform AntHocNet over a broad range of possible network scenarios, like packet delivery ratio, and throughput.
Keywords: mobile ad hoc networks; conditional probability; congestion control; distance vector; swarm intelligence; transmission queue length; load balance routing; MANETs; network congestion; resource allocation; network resources; ant colony optimisation; ACO; mathematical modelling; simulation; packet delivery ratio; throughput.
International Journal of Information and Communication Technology, 2015 Vol.7 No.6, pp.585 - 606
Received: 18 Sep 2013
Accepted: 06 Jan 2014
Published online: 03 Aug 2015 *