Ultra-low latency communication technology for Augmented Reality application in mobile periphery computing

被引：4

作者：

Nagu B. ^{[1
]}

Arjunan T. ^{[2
]}

Bangare M.L. ^{[3
]}

Karuppaiah P. ^{[4
]}

Kaur G. ^{[1
]}

Bhatt M.W. ^{[5
]}

机构：

[1] Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab

[2] Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram Campus, TN, Chennai

[3] Department of Information Technology, Savitribai Phule Pune University, Smt. Kashibai Navale College of Engineering, Pune

[4] Department of Computer Science and Engineering, St. Michael College of Engineering and Technology, Kalayarkoil

[5] Department of Computer Science Engineering, Model Institute of Engineering and Technology, J&K, Jammu

来源：

Paladyn | 2023年 / 14卷 / 01期

关键词：

Augmented Reality; cognitive computing; communication technology; evolutionary algorithm; mobile-edge computing; optimization;

D O I：

10.1515/pjbr-2022-0112

中图分类号：

学科分类号：

摘要：

Improved Reliability and Low Latency Communication (IRLC) with Augmented Reality (AR) has become an emerging technology in today's world. To minimize an accessory adaptation for Customer Equipment (CE) in AR, it may be feasible to offload the AR workload onto the onboard devices. Mobile-Edge Computation (MEC) will improve the throughput of a CE. MEC has caused enormous overhead or communication omissions on wireless media, making it difficult to choose the optimal payload proposition. The proposed system explores on-board devices that work together to achieve an AR goal. Code splitting is a Bayesian network used to examine the overall interdependence of efforts. From a longevity and endurance perspective, it is used to reduce the Probability of Supplier Failure (PSF) of an MEC-enabled AR environment. Weighed Particle Swarm Optimization (WPSO) was proposed despite the reality based on the emphasis on balancing the issue. As a result, a heuristic-based WPSO facilitates to improve the performance measures. A hybrid method could significantly increase the assertion of a predicted PSF in various network scenarios compared to the existing communication technologies. A preliminary iterative approach is suitable for AR operations and IRLC scenarios to generalize the attributes. © 2023 the author(s), published by De Gruyter.

引用

共 31 条

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