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A Novle Method for Efficient Mobile AR Service in Edge Mesh Network

  • Choi, Seyun (Department of Smart System, Kwangwoon University) ;
  • Shim, Woosung (Department of Smart System, Kwangwoon University) ;
  • Hong, Sukjun (Department of Smart System, Kwangwoon University) ;
  • Kim, Hoijun (Department of Plasma-Bio-Display, Kwangwoon University) ;
  • Lee, Seunghyun (Ingenium College Liberal Arts, Kwangwoon University) ;
  • Kwon, Soonchul (Graduate School of Smart Convergence, Kwangwoon University)
  • Received : 2022.05.14
  • Accepted : 2022.05.22
  • Published : 2022.08.31

Abstract

Recently, with the development of mobile computing power, mobile-based VR and AR services are being developed. Due to network performance and computing power constraints, VR and AR services using large-capacity 3D content have limitations. A study on an efficient 3D content load method for a mobile device is required. The conventional method downloads all 3D content used for AR services at the same time. In this paper, we propose an active 3D content load according to the user's track. The proposed method is a partitioned 3D object load. Edge servers were installed for each area and connected through the MESH network. Partitioned load the required 3D object in the area referring to the user's location. The location is identified through the edge server information of the connected AP. The performance of the proposed method and the conventional method was compared. As a result of the comparison, the proposed method showed a stable Mobile AR Service. The results of this study, it is expected to contribute to the activation of edge server-based AR mobile services.

Keywords

Acknowledgement

This research is supported by Ministry of Culture, Sports and Tourism and Korea Creative Content Agency (Project Number: R2021040083)

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