Service Reservation and Pricing for Green Metaverses: A Stackelberg Game Approach
Xumin Huang, Yuan Wu, Jiawen Kang, Jiangtian Nie, Weifeng Zhong, Dong, In Kim, and Shengli Xie

TL;DR
This paper models a Stackelberg game to optimize service reservation and pricing in green Metaverse environments, focusing on energy efficiency and economic incentives for users and providers.
Contribution
It introduces a novel game-theoretic framework for joint service reservation and pricing in energy-efficient Metaverse applications, considering user rationality and sustainability.
Findings
Achieves energy savings compared to conventional schemes
Ensures individual rationality for users and providers
Provides insights into sustainable service provisioning in Metaverse
Abstract
Metaverse enables users to communicate, collaborate and socialize with each other through their digital avatars. Due to the spatio-temporal characteristics, co-located users are served well by performing their software components in a collaborative manner such that a Metaverse service provider (MSP) eliminates redundant data transmission and processing, ultimately reducing the total energy consumption. The energyefficient service provision is crucial for enabling the green and sustainable Metaverse. In this article, we take an augmented reality (AR) application as an example to achieve this goal. Moreover, we study an economic issue on how the users reserve offloading services from the MSP and how the MSP determines an optimal charging price since each user is rational to decide whether to accept the offloading service by taking into account the monetary cost. A single-leader…
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Taxonomy
TopicsIoT and Edge/Fog Computing
Methodstravel james
