Title :
Intelligent Sensor Network Simulation for Battlefield Resources Management
Author :
Yu, H.Y. ; Lu, Y.L.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
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.
Keywords :
intelligent sensors; military computing; public domain software; wireless sensor networks; GECCO; REPAST; battlefield resource management; battlefield simulation platform; intelligent sensor network simulation; optimal resources management; publically available software; target classification; target detection; unattended ground sensors; unmanned aerial vehicles; user developed optimization engine; wireless sensor network; Computational modeling; Games; Helicopters; Monitoring; Servers; Vehicles; Wireless sensor networks; Sensor network; agent-based computing; battle field; multiagent systems;
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4673-0006-3
DOI :
10.1109/DASC.2011.59
