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EDGE PROCESSING OF SENSOR DATA USING A NEURAL NETWORK TO REDUCE DATA TRAFFIC ON A COMMUNICATION NETWORK
EDGE PROCESSING OF SENSOR DATA USING A NEURAL NETWORK TO REDUCE DATA TRAFFIC ON A COMMUNICATION NETWORK
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机译:使用神经网络的传感器数据的边缘处理减少通信网络上的数据流量
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摘要
Methods, systems, and apparatuses related to edge processing of sensor data using a neural network to reduce network traffic to and/or from a server. In one approach, a cloud server processes sensor data from a vehicle using an artificial neural network (ANN). The ANN has several layers. Based on analyzing at least one characteristic of the sensor data received from the vehicle and/or a context associated with processing the sensor data, the cloud server determines to send one or more of the layers of the ANN for edge processing on the vehicle itself. In other cases, the cloud server decides to send the one or more layers to an edge server device located on a communication path between the vehicle and the cloud server. The edge processing reduces network data traffic.
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