Prefetching Method for Low-Latency Web AR in the WMN Edge Server

Recently, low-latency services for large-capacity data have been studied given the development of edge servers and wireless mesh networks. The 3D provided augmented reality (AR) a larger capacity than general 2D data. In conventional WebAR method, variety such as HTML, JavaScript, service are downloaded when they first connected. method employed to fetch all AR client connects time causes initial latency. this study, we proposed prefetching services. Markov model-based prediction via partial matching (PPM) algorithm was applied method. Prefetched were predicted during An experiment conducted at Nowon Career Center Youth Future in Seoul, Republic Korea from 1 June 2022 31 August 2022, total 350 access points collected over three months; reduced average latency by 81.5% compared