Enhancing Resource Allocation Efficiency for Collaborative End-Edge Tasks in the Metaverse's Virtual Reality

The Metaverse, enabled by internet connectivity and immersive technologies like Virtual Reality (VR) and Augmented Reality, represents a collective virtual shared space. However, VR technology's resource-intensive tasks, such as rendering, display, and tracking, result in substantial energy usa...

Full description

Saved in:
Bibliographic Details
Published in2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) pp. 516 - 523
Main Authors Yan, Wangsheng, Lin, Li, Huang, Ruihong, Xiong, Jinbo, Huang, Tianqiang, Lin, Mingwei
Format Conference Proceeding
LanguageEnglish
Published IEEE 21.12.2023
Subjects
edge computing
Energy efficiency
Metaverse
Rendering (computer graphics)
Resource management
System performance
User experience
virtual reality
whale optimization algorithm
Whale optimization algorithms
Online AccessGet full text

Cover

More Information
Summary:The Metaverse, enabled by internet connectivity and immersive technologies like Virtual Reality (VR) and Augmented Reality, represents a collective virtual shared space. However, VR technology's resource-intensive tasks, such as rendering, display, and tracking, result in substantial energy usage. Fortunately, the emergence of edge computing, a technology that places computing and storage resources closer to end-users, promotes the concept of computation offloading. In this paper, we employ an energy-efficient 360-degree VR video transmission scheme that offloads complex VR operations to edge servers. This approach minimizes latency, conserves energy, and adopts a field-of-view-based method for 360-degree VR video generation and transmission. Furthermore, we address the resource allocation challenge for multiple devices and tasks by proposing an enhanced whale optimization algorithm designed to optimize global system performance. Simulation experiments demonstrate the effectiveness of our proposed mechanism, showcasing significant reductions in energy consumption and latency for VR devices while maintaining an enhanced user experience.
DOI:10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00099