A Metaverse Object Management Method Based on Visible Areas Using Geographical Overlay Networks

【Author】 Aoki, Nobuki; Kawakami, Tomoya; Matsumoto, Satoru; Yoshihisa, Tomoki; Teranishi, Yuuichi

【Source】2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC

【影响因子】

【Abstract】The metaverse, which has been the focus of much attention in recent years, has a load-related problem. We focused on the architecture (objects) in the metaverse that users acquire more than necessary as a cause of the load. Since managing all the objects in the metaverse on a user's terminal is difficult, a mechanism that can retain only the necessary objects is required. In this study, we propose a method to manage objects in a distributed manner to retrieve only the necessary objects. We propose a retrieval method that determines which objects to recover based on size and distance, considering the user's visible area, and a retrieval method that determines the shielding relationship calculated from size and location information and excludes unnecessary parts from the distributed objects. The proposed method was evaluated in simulations in two different environments, and a reduction in the number of communication targets was confirmed.

【Keywords】Virtual space; location-based service (LBS); distributed data management (DDM); range search

【发表时间】2023

【收录时间】2023-10-14

【文献类型】实验仿真

【主题类别】

区块链应用-虚拟经济-元宇宙