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

fYear

2011

fDate

12-14 Dec. 2011

Firstpage

238

Lastpage

241

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/DASC.2011.59

Filename

6119077