Mobile virtual reality (VR) devices consume a large amount of energy to render high-fidelity graphics in real time, which can degrade device energy efficiency, raise device temperature, and further decrease user experience. In this study, an energy optimization method is proposed based on edge computing. Firstly, a distributed rendering architecture is designed with edge-to-end cooperation. Secondly, an adaptive task scheduling method is developed. Thirdly, a lightweight data compression and caching method is proposed. Finally, the rendering parameters are adjusted through a real-time monitoring and feedback method. In benchmark tests, the average energy consumption of the device is reduced by 43.4% and the temperature is raised 10.1 ° C. Meanwhile, the lag rate of the device is controlled below 3.2% even when the network environment is poor. What is more, the battery life of the device is improved 33.3% under extreme tests. The results of this study have proved that the edge computing rendering solution can effectively solve the energy bottleneck of mobile VR and improve device battery life and thermal performance while ensuring a user experience.
Zhongyi Wang (Thu,) studied this question.