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Optimized differencing algorithm for firmware updates of low-power devices

机译:优化的差分算法,用于低功耗设备的固件更新

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Modern intelligent systems are often equipped with the low-power wireless sensor or actuator devices in their structure. These devices may need firmware updates once the system is deployed. Battery powered, physically inaccessible devices require energy effective updates. The problem of energy effective updates includes the differencing algorithms that generate small delta files. This paper presents the differencing algorithm that generates the delta files for the updates without an external memory. The proposed algorithm introduces optimizations that improve its performance over the existing solutions. The generated delta files are very small and the updates do not require external flash memory.
机译:现代智能系统的结构通常配备有低功率无线传感器或执行器设备。部署系统后,这些设备可能需要固件更新。电池供电,物理上无法访问的设备需要节能更新。节能更新的问题包括生成小增量文件的差异算法。本文提出了一种差分算法,该算法无需外部存储器即可生成用于更新的增量文件。所提出的算法引入了优化措施,可以在现有解决方案上提高其性能。生成的增量文件非常小,并且更新不需要外部闪存。

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