multi-resolution spatial model for large-scale virtual environment
The goal of this paper is to optimize interest management for the scalability of networked virtual environments. To remove the needless load of co-presence, the interest manager restricts the consistency of shared virtual space by means of relevance. We propose multi-resolution spatial model (MRSM) for the optimization of an interest manager, which pays attention to all participants in order to determine the limitation of consistency. They enable an interest manager to control the granularity of relevance filtering without disturbing co-presence. When an interest manager realize relevance against the movements of players, MRSM supports the detection of avatar's location and the estimation of relevance at different cost according to level-of-detail. And, this paper presents an algorithm that applies the size of neighbor to the modification of level-of-detail while the efficiency is guaranteed.
interest management scalability multi-resolution spatial model (mrsm) level-of-detail (lod) filter update relevance realization state update networked virtual space