By Topic

Design and analysis using Distributed Interactive Simulation (DIS) concept for Armoured Fighting Vehicle training simulators

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
$31 $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)
Jayaprakash, B. ; Combat Vehicles R&D Establ., Chennai, India ; Shenbagamoorthy, A.

A new approach of Armoured Fighting Vehicle (AFV) simulation is being presented in this research work. Combat Vehicles Research and Development Establishment (CVRDE) is planning to incorporate the concept of Distributed Interactive Simulation (DIS) for Armoured fighting vehicle training simulators. DIS is an open standard for conducting real-time platform-level war gaming across multiple host computers. This is used worldwide, especially by military organizations and other agencies such as those involved in space exploration and medicine. In a Distributed Interactive scenario, there is a need for a centre node to forward data to the receivers based on their respective priorities. A protocol called Predict-and-Quantize for Priority with directed minimum Spanning Tree (PQPST) is used effectively to predict priorities for the receivers. The predicted priorities are quantized to build a significant distribution trees for effective utilization of network bandwidth. A case study was attempted by CVRDE using the existing Troop training simulator architecture to compare the performance analysis of PST and PQPST algorithms and the results are present in this paper. This study reveals that PQPST algorithm is more suited for utilizing the network bandwidth and reduces the latency to achieve the real time response in the training simulator. This study also helps for the robotic applications to select the appropriate route in an intelligent manner from the network distribution graph.

Published in:

Emerging Trends in Robotics and Communication Technologies (INTERACT), 2010 International Conference on

Date of Conference:

3-5 Dec. 2010