Deep neural network for iot offloading in mec
WebIn this article, the task generated by IoT device can be offload to the MEC server in order to reduce the energy consumption of the IoT device when the network is in good state. If the network state is bad, the task can only be executed on the IoT device. Next, two situations are described in detail, respectively. WebJul 24, 2024 · Wireless powered mobile-edge computing (MEC) has recently emerged as a promising paradigm to enhance the data processing capability of low-power networks, …
Deep neural network for iot offloading in mec
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WebOct 24, 2024 · Deep neural networks (DNNs) have been used to learn from the datasets. In 2024, by using the principle of parallel computing, Huang et al. applied the distributed deep learning-based offloading (DDLO) algorithm to the MEC network [31]. After that, to optimize the computing performance of the MEC network based on energy harvesting, … WebUsing this feature, IoT devices can save more resources while still maintaining the quality of service. However, since computation offloading decisions concern joint and complex resource management, we use multiple Deep Reinforcement Learning (DRL) agents deployed on IoT devices to guide their own decisions.
Web1 Introduction. Industrial Internet of Things (IIoT) [] is a promising technology which deploys Internet of Things (IoT) applications in Industry 4.0 [].For example, we can deploy many sensors to observe the industrial quality [].Mobile edge computing (MEC) [] is an emerging mechanism which is an enabler for IoT applications [].Because IoT device has limited … WebFeb 16, 2024 · Unmanned aerial vehicles (UAVs) have been envisioned as a promising technique to provide relaying and mobile edge computing (MEC) services for ground user equipment (UE). In this paper, we propose a UAV-assisted MEC architecture in dynamic environment, where a UAV flies with a fixed trajectory and may act as a MEC server to …
WebNov 7, 2024 · The artificial neural network may be a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), deep Q-network or a combination of two or more thereof but …
WebTypically, a DNN is a machine learning algorithm based on an artificial neural network (ANN) which mimics the principles and structure of a human neural network. An ANN is …
WebApplying deep neural networks to IoT devices could thus bring about a generation of applications capable of performing complex sensing and recognition tasks to support a … joint office neviWebNov 26, 2024 · The objectives of computation offloading in MEC are minimizing energy consumption and processing tasks within the deadline constraints. ... Therefore, we used the deep Q-network (DQN), which uses a neural network to approximate ... F.J.; Vahidnia, R.; Rahmati, A. Wearables and the Internet of Things (IoT), applications, opportunities, and ... how to hook hemp for fishingWebHighlights • Blockchain-based Deep Reinforcement Learning applied for task scheduling and offloading in an SDN-enabled IoT network. • Optimization of consumable energy with improving QoS during tas... how to hook hydraulic equipment to tractorWebMar 30, 2024 · We proposed a supervised deep neural network (DNN) to calculate the parameters of the cost function of final offloading scheme. To train this DNN, the most important problem is how to design an appropriate training dataset, and hence, we also proposed a method of getting the training dataset in our experiments. joint office oadWebNov 29, 2024 · Abstract. This paper studies mobile edge computing (MEC) networks where multiple wireless devices (WDs) choose to offload their computation tasks to an edge … how to hook hp printer to laptopWebMobile edge computing (MEC) has recently emerged as an enabling technology to support computation-intensive and delay-critical applications for energy-constrain Dynamic Task … joint office notes to ownerWebJul 28, 2024 · A compact deep neural network-based face recognition method for face recognition in public safety surveillance system with visual IoT is presented in [6]. ... Moreover, processing of visual data is much more complex than that of common IoT data. In the context of MEC offloading, it means that IoVT imposes much more requirements on … how to hook internet to dish hopper