The remote edge server is equipped with high-performance CPUs and GPUs, allowing the acceleration of the object detection tasks in comparison with edge devices that are equipped with a lightweight hardware. After pretraining the object detection DNN models, the edge server creates a DNN runtime module that executes the DNN model inference by sequentially processing micro-kernels generated by a deep learning compiler such as the Nvidia TensorRT and Apache TVM 1 [25]. Then, the edge server opens a port and waits This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.  for an object detection offloading request sent by the edge devices. Once the request arrives, the edge server executes the DNN runtime to extract the detection results. Subsequently, the edge server applies the NMS filter to extract the final detection results, which are eventually returned to the corresponding edge device. It is necessary to establish **data** communication between the mobile edge devices and the edge server in the object detection offloading framework. In particular, the latency incurred by **data** communication affects the detection latency of the object detection offloading method. Thus, a singlehop WLAN is appropriate for establishing **data** communication links to minimize the degradation. Here, the mobile edge devices are associated with a single WLAN AP where the remote edge server is attached. When the edge devices request the object detection offloading, the frames including the pre-processed image **data** are transmitted to the remote edge server through the uplink transmission. Afterward, the frames including the detection results are transmitted to the corresponding mobile edge devices through the downlink transmission when the detection results are delivered from the remote edge server to the edge devices.