Adaptive Δ-causality control with adaptive dead-reckoning in networked games
Yutaka Ishibashi, Yousuke Hashimoto, Tomohito Ikedo, Shinji Sugawara · 2007
This paper proposes an adaptive ∆-causality control scheme with adaptive dead-reckoning to preserve the consistency among players and the causality for networked games. The proposed scheme carries out adaptive ∆-causality control and adaptive dead-reckoning together. By simulation, we make a performance comparison among nine schemes in-cluding the scheme for a networked racing game. We also investigate the inuence of the maximum value of ∆ of the scheme on the interactivity by subjective assessment. As a result, we illustrate that the scheme is superior to the other schemes in terms of the consistency among players. Also, we show that if the maximum value of ∆ is less than about 100 ms, the inuence of the value on the interactivity is small.