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This paper presents a study of a battlefield simulation platform with consideration of sensor network and optimal resources management. This development is mainly based on two public ally available software - GECCO and REPAST. The platform allows integration with a user developed optimization engine for optimal battlefield management. A simulation example was presented to show the application to a wireless sensor network composed of unattended ground sensors and unmanned aerial vehicles for target detection, classification and localization in the battlefield.