Path Prediction-based Dynamic Data Sharing in Network Virtual Environment

네트워크 가상환경에서 경로예측에 의한 동적 데이터 공유

  • 송선희 (동신대학교 디지털콘텐츠협동연구센터) ;
  • 나상동 (조선대학교 전자정보공과대학 컴퓨터공학과)
  • Published : 2006.10.31

Abstract

This research studies multi participant consistency and dynamic data shared through 3D scenes in virtual network environments. In a distributed virtual environment of client-server structure, consistency is maintained by the static information exchange; as jerks occur by packet delay when updating messages of dynamic data exchanges are broadcasted frequence, the network bottleneck is reduced by predicting the movement path by using the Dead-reckoning algorithm. In Dynamic data path prediction, the tests the location prediction error between Dead-reckoning convergence interval and error of prediction and actual condition one time above threshold it interpolates a previously location. The shared dynamic data of the 3D virtual environment is implementation using the VRML EAI.

네트워크 가상 환경에서 다중 참여자 일관성 유지와 3D 장면의 동적데이터 공유를 연구한다. 클라이언트-서버구조의 분산 가상환경에서 일관성은 상태정보 교환으로 유지되며, 교환되는 동적데이터의 갱신메시지가 자주 브로드캐스트 되면 패킷 지연에 의한 jerk를 일으키므로 데드레커닝 알고리즘을 이용한 이동경로를 예측하여 네트워크 병목을 줄인다. 동적데이터 경로예측은 데드레커닝 수렴간격의 타당성을 실험하여 공유객체 위치를 근거로 예측값과 실제 상태 값과의 오차가 한계값 이상일 때 이전 위치를 보간하고, VRML EAI를 이용하여 3D 가상공간의 동적 데이터 공유를 구현한다.

Keywords

References

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