Results
Title

QoS‐enhanced load balancing strategies for metaverse‐infused VR/AR in engineering education 5.0.

Authors

Singh, Kiran Deep; Singh, Prabh Deep

Abstract

The evolution of augmented reality (AR) and virtual reality (VR) technologies has ushered in a new era of immersive experiences, with applications ranging from entertainment to education. The proposed framework introduces a fog layer with an innovative, improved geographic load‐balancing algorithm. It optimizes load distribution and provides quality of service (QoS) parameters that are important for enhancing user experiences for AR/VR applications. The iFogSim toolkit experimentally validates the framework in electroencephalogram‐based VR/AR gaming applications. Also, the proposed framework is tested in a diverse range of scenarios. Results show that the proposed algorithm improves QoS for AR/VR applications with noticeable improvements on average latency, jitter, and packet loss. Future research should aim to address these limitations for a more comprehensive understanding of the proposed framework's practicality and effectiveness. The development of immersive technologies will continue to expand in multiple sectors, and future research will focus on energy efficiency, security, and real‐world applications.

Subjects

ENGINEERING education; AUGMENTED reality; QUALITY of service; VIRTUAL reality; COURSEWARE; ENERGY consumption

Publication

Computer Applications in Engineering Education, 2024, Vol 32, Issue 3, p1

ISSN

1061-3773

Publication type

Academic Journal

DOI

10.1002/cae.22722