Kalman filter based dead reckoning for minimizing network traffic for 3D on-line games

• 발행기관: 한국컴퓨터게임학회
• 저자명: 김현국(Hyon Gook Kim) 김성환(Seong Whan Kim)
• 간행물 정보: 『한국컴퓨터게임학회논문지』제6호, 1~7쪽, 전체 7쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2005.06.30

영문 초록

Online 3D games requires efficient user interaction support over network, and the networking support is usually implemented using network game engine. The network game engine should minimize the network delay and mitigate the network traffic congestion. To minimize the network traffic between networking game users, dead reckoning technique is used. Each game entity uses the algorithm to estimates its movement and other entities’ movement, thereby, each entity can minimize the transmission of its updated information (position, velocity, etc) to other entities. To improve the prediction accuracy of dead reckoning algorithm, we propose the Kalman filter based approach. To show real demonstration, we improved the dead reckoning algorithm that is optimized for a popular networking game (BZFlag) using Kalman filter, and showed that prediction accuracy is improved and network traffic is reduced.

목차

Ⅰ. Introduction

Ⅱ. Related Works

Ⅲ. Kalman filter based dead reckoning algorithm

IV. Experimental Results with BZFlag Games

Ⅴ. CONCLUSIONS

References

키워드

Kalman filter dead reckoning