Computer Simulation of an Armoured Battalion Swarming

Radomir Jankovic

doi:10.14429/dsj.61.49

Radomir Jankovic Union University School of Computing, Belgrade

Keywords: Swarming, armed mobile platform, group, armoured battalion, simulation

Abstract

Swarming is a tactical approach considered in modern armies combat activities conceptualisation. More intensive research of military application of swarming began after 2000, mostly in the areas of unmanned air, underwater, and ground vehicles, as well as in air force, navy and some special ground force units. In spite of relative inconveniences of contemporary main battle tanks to act as swarmers, some of initial results of the armoured mobile platforms swarming research have been presented. The motivation for the research is that adaptation of contemporary tanks for swarming could prolong their working life until the new generation comes, and could be the best investment in medium and smaller countries armies' modernisation. Brief survey of the till date research, description of the simulation model and the results of experiments simulating swarming of the battalion-sized group of armed mobile platforms, defending territory from superior adversary unit, have been considered in the paper.

Defence Science Journal, 2011, 61(1), pp.36-43, DOI:http://dx.doi.org/10.14429/dsj.61.49

Author Biography

Radomir Jankovic, Union University School of Computing, Belgrade

Dr Radomir Jankovic, colonel (ret'd), received the BSc and MSc from School of Electrical Engineering, University of Belgrade and PhD from School of Electrical Engineering, University of Sarajevo. From 1973 to 2006, he was with Military Technical Institute in Belgrade, working in the research and development of complex military computer and electronic systems. Presently teaching computer architecture and organisation, modeling and simulation and safety critical computer systems at Union University School of Computing, Belgrade. His research areas include discrete event dynamic systems, operations research and complex systems modeling and simulation.