A Knowledge-based Message Filtering Algorithm in Scalable DVE Systems

In scalable Distributed Virtual Environments (DVE), communication between the users can maintain the consistent state of system, but consume the network bandwidth at the same time. Message filtering is necessary to be adopted in order to support more users in a large scale virtual environment. Existing message filtering algorithms are, in our opinion, somewhat deficient either in users´ AOI management or consistency maintenance. In this paper, a knowledge-based message filtering algorithm is proposed. The knowledge base is built in order to divide effectively the user´s vision domain. Users send update messages to receivers in its interaction area and in its perception area with different frequency to reduce the traffic and improve the consistency. Experimental results show that the knowledge-based message filtering algorithm can reduce the redundant traffic and save the consumption of network resources.