By Topic

Intelligent Sensor Network Simulation for Battlefield Resources Management

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
H. Y. Yu ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore ; Y. L. Lu

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.

Published in:

Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on

Date of Conference:

12-14 Dec. 2011