Abstract
With the rapid development of industrial demands, the Internet of Things triggers enormous interests by industry and academia. By employing IoT technologies, a large number of problems in the industry can be solved by intelligent sensing, wireless communication, and smart software analysis. However, in applying Industrial IoT to improve real-time and immerse user experiences, we found that compared to traditional application scenarios such as tourism, or daily experiences, industrial IoT applications face challenges in scalability, real-time reaction, and immerse user experiences. In this paper, we propose an edge-assisted framework that fits in industrial IoT to solve this fatal problem. We design a multi-pass algorithm that can successfully provide a real sense of immersion without changing the single frame image visual effect in terms of increasing rendering frame rate. From experimental evaluation, it shows that this edge-assisted rendering framework can apply to multiple scenarios in Industrial IoT systems.
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Acknowledgement
The paper is supported by the Science and Technology Project of State Grid Corporation of China: “Research on Key Technologies of Edge Intelligent Computing for Smart IoT System” (Grant No. 5210ED209Q3U), NSF China Key Project (Grant No. 61632013), National Key Research and Development Project (Grant No. 2018YFB2200900).
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Zeng, Z. et al. (2020). An Edge-Assisted Video Computing Framework for Industrial IoT. In: Liu, J., Gao, H., Yin, Y., Bi, Z. (eds) Mobile Computing, Applications, and Services. MobiCASE 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-030-64214-3_4
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DOI: https://doi.org/10.1007/978-3-030-64214-3_4
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