Survey study of the QoS Management in Distributed Interactive Simulation Through Dead Reckoning Algorithms

Computer Science – Networking and Internet Architecture

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Dead Reckoning mechanism allows reducing the network utilization considerably when used in Distributed Interactive Simulation Applications. However, this technique often ignores available contextual information that may be influential to the state of an entity, sacrificing remote predictive accuracy in favor of low computational complexity. The remainder of this paper focuses on the analysis of the Dead Reckoning Algorithms. Some contributions are expected and overviews of the major bandwidth reduction techniques currently investigated are discussed. A novel extension of Dead Reckoning based on ANFIS systems is suggested to increase the network availability and fulfilling the required QoS in such applications. The model shows it primary benefits regarding the other research contributions, especially in the decision making of the behavior of simulated entities.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Survey study of the QoS Management in Distributed Interactive Simulation Through Dead Reckoning Algorithms does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Survey study of the QoS Management in Distributed Interactive Simulation Through Dead Reckoning Algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Survey study of the QoS Management in Distributed Interactive Simulation Through Dead Reckoning Algorithms will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-465531

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.