https://scholars.lib.ntu.edu.tw/handle/123456789/607267
Title: | AR game traffic characterization: A case of Pok?mon Go in a flash crowd event | Authors: | Chen H.-Y Hsu R.-T Chen Y.-C Hsu W.-C Huang P. POLLY HUANG |
Keywords: | AR game;edge offloading;traffic characterization;Flash crowd events;ITS data;Mobile apps;Network delays;Practical use;Real time;Traffic characterization;Augmented reality | Issue Date: | 2021 | Start page/Pages: | 493-494 | Source: | MobiSys 2021 - Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services | Abstract: | Latency is a major issue towards practical use of augmented reality (AR) in mobile apps such as navigation and gaming. A string of work has appeared recently, proposing to offload a part of the AR-related processing pipeline to the edge [8]. One pitfall in these studies is the (simplified) assumption about the network delay. As a reality check and to gather insights to realize AR in real time, we seek in this work a better understanding of how a popular AR game, Pok?mon Go, delivers its data in situ. ? 2021 Owner/Author. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110130084&doi=10.1145%2f3458864.3466914&partnerID=40&md5=8acb86b28cf613ef73b74ee50f78de2a https://scholars.lib.ntu.edu.tw/handle/123456789/607267 |
DOI: | 10.1145/3458864.3466914 |
Appears in Collections: | 電機工程學系 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.