

Performance Evaluation of Ant Colony Optimization in Mobile Ad Hoc Networks (ACONET) and Comparison of Different Ant Systems
Abstract
Ant colony optimization (ACO) is an optimization technique inspired by the exploratory behavior of ants while finding food. This paper evaluates the performance enhancement routing parameters of ACONET and two different Ant systems are compared on different parameters. The simulation tool used is MATLAB 7.5. The performance enhancement is carried out of different routing parameters and metrics like number of ants that have completed their tour (K), length of complete tour of an ant (L) and the pheromone evaporation rate in the complete tour of the ant (λ).
Keywords
Ant Colony, Ant Colony Optimization, Ant Systems and Pheromones.
References
C.E. Perkins and P. Bhagwat, Highly dynamic destination-sequenced distance vector (DSDV) for mobile computers proc. of the sigcomm. 1994 conference on communications architectures, protocols and applications. Pages: 234–244, Aug 1994.
T. Stutzle & M. Dorigo, an Experimental Study of the Simple Ant Colony, 2002.
O. Hossein and T. Saadawi. Ant routing algorithm for mobile ad hoc networks (arama). In Proceedings of the 22nd IEEE International
Performance, Computing, and Communications Conference, pages 281–290, Phoenix, Arizona, USA, April 2003.
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