The present invention discloses a fog computing architecture in an Internet of Things-based environment, and the proposed technology fully utilizes local radio signal processing capabilities to integrate wireless resource management and distributed storage capabilities in edge devices. Then, by configuring the fog computing architecture by selecting an appropriate transmission mode, the effect of reducing the load on the front end is achieved, so that higher system capacity and processing speed can be obtained. As a specific embodiment, the fog computing wireless access network is defined as four clouds, which are a global centralized communication and storage cloud, a centralized control cloud, a decentralized logical communication cloud, and a decentralized logical storage cloud. , Responsible for communication, storage, control and signal processing, respectively. When a user device accesses the Internet of Things, a fog computing system, D2D and relay mode, local distribution, depending on the user device's travel speed, communication distance, location, quality of service (QoS) requirements, processing and high-speed cache capability. Higher efficiency can be obtained by selecting the transmission mode from the type cooperative mode, the global C-RAN mode, and the HPN mode.
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