Swarm simulation and performance evaluation

  • Authors:
  • Pooia Lalbakhsh;Bahram Zaeri;Mehdi N. Fesharaki;Nasrin Sohrabi

  • Affiliations:
  • Department of Computer Engineering, Islamic Azad University, Boroujerd IAU Complex, Boroujerd, Lorestan, Iran;Department of Computer Engineering, Islamic Azad University, Boroujerd IAU Complex, Boroujerd, Lorestan, Iran;Department of Computer Engineering, Islamic Azad University, Science & Research Campus, Ashrafi Esfahani Highway, Simon Bolivar Boulevard, Tehran, Iran;Department of Computer Engineering, Islamic Azad University, Boroujerd IAU Complex, Boroujerd, Lorestan, Iran

  • Venue:
  • ACMOS'08 Proceedings of the 10th WSEAS International Conference on Automatic Control, Modelling & Simulation
  • Year:
  • 2008

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Abstract

Applying swarm behavior in computing environments as a novel approach is appeared to be an efficient solution to face critical challenges of the modern cyber world. The emergent improvements of a swarm-based system depend on the selected architecture and the appropriate assignments of the system parameters. To have an improved system, swarm characteristics such as agents/individuals, groups/clusters and communication/interactions should be appropriately characterized according to the system mission. Simulation is one of the best processes to monitor the efficiency of each systems' functionality before its real implementation. Because of the novel and special nature of swarm-based systems, a clear roadmap toward swarm simulation is needed and the process of assigning and evaluating the important parameters should be introduced. This paper in going to determine the important swarm characteristics in simulation phase and explain evaluation methods for important swarm parameters. It also introduces simulation methods of the swarm sub-systems in an artificial world. To clarify the proposed strategies, the AntNet routing algorithm simulation and performance evaluation process is studied according to the proposed methods.