Edge Network Optimization Based on AI Techniques: A Survey

The network edge is becoming a new solution for reducing latency and saving bandwidth in the Internet of Things (IoT) network. The goal of the network edge is to move computation from cloud servers to the edge of the network near the IoT devices. The network edge, which needs to make smart decisions...

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Detalles Bibliográficos
Autores principales: Mitra Pooyandeh, Insoo Sohn
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
IoT
Acceso en línea:https://doaj.org/article/761e88fb416344b3b90a5a769dd14774
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Sumario:The network edge is becoming a new solution for reducing latency and saving bandwidth in the Internet of Things (IoT) network. The goal of the network edge is to move computation from cloud servers to the edge of the network near the IoT devices. The network edge, which needs to make smart decisions with a high level of response time, needs intelligence processing based on artificial intelligence (AI). AI is becoming a key component in many edge devices, including cars, drones, robots, and smart IoT devices. This paper describes the role of AI in a network edge. Moreover, this paper elaborates and discusses the optimization methods for an edge network based on AI techniques. Finally, the paper considers the security issue as a major concern and prospective approaches to solving this issue in an edge network.