Paper
29 November 2023 Research on lightweight firmware update method of distribution IoT terminal
Guolong Zhen, Chuanliang He, Bo Zhang, Pu Xu, Yazhou Zhang, Jinlong Li, Yongping Liu
Author Affiliations +
Proceedings Volume 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023); 129370R (2023) https://doi.org/10.1117/12.3013282
Event: International Conference on Internet of Things and Machine Learning (IoTML 2023), 2023, Singapore, Singapore
Abstract
Intelligent applications with Internet of Things terminal as the core have penetrated into all aspects of social life. With the iterative development of Internet of Things technology, the needs of users and manufacturers may constantly change, and various software anomalies may be exposed after the deployment of Internet of Things devices in the field. How to effectively ensure the sustainable renewal of IoT devices after deployment is an urgent problem to be solved. In this paper, a lightweight firmware update method for distribution IoT terminals is proposed, which adopts differential upgrade method, only the difference between the new version and the old version needs to be upgraded, and the same upgrade effect can be achieved by transferring less data. The simulation results show that the proposed firmware update method has higher upgrade success rate and upgrade efficiency, and lower memory consumption rate.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Guolong Zhen, Chuanliang He, Bo Zhang, Pu Xu, Yazhou Zhang, Jinlong Li, and Yongping Liu "Research on lightweight firmware update method of distribution IoT terminal", Proc. SPIE 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023), 129370R (29 November 2023); https://doi.org/10.1117/12.3013282
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KEYWORDS
Internet of things

Matrices

Sampling rates

Telecommunications

Algorithms

Power grids

Sustainability

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