Transmitting a high data rate video to the cloud for real-time processing purpose requires minimizing the latency, maximizing the application requirements, and optimizing power consumption for the entire system. In this study, we employed a distributed video processing model for an object detection task, assuming that video streams are captured by robots operating in the licensed 28 GHz Milliwave network, en-suring the stability of video uploads. Through the optimization of power consumption, the system efficiently allocated video analysis frames to appropriate devices, resulting in an 18 % decrease in overall power usage.
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Techasarntikul et al. (2024) studied this question.
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