A Min-Threshold Adaptive Dead Reckoning

This paper brings forward a min-threshold adaptive Dead Reckoning base on AIMNET. AIMNET is a DVE system developed by Nanjing University. The message of simulation entity in AIMNET is anonymous. Based on re- search of Dead Reckoning, taking the relationship of threshold and distance of simulation entities into account, this pa- per brings forward a min-threshold adaptive Dead Reckoning. The experiment shows that the algorithm not only re- solve contradiction between precision of the estimated track and the network cost, but also satisfy the anonymity of message in AIMNET.