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Cited 11 time in webofscience Cited 19 time in scopus
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Edge Network Optimization Based on AI Techniques: A Surveyopen access

Authors
Pooyandeh, MitraSohn, Insoo
Issue Date
Nov-2021
Publisher
MDPI
Keywords
network edge; IoT; artificial intelligence; security
Citation
ELECTRONICS, v.10, no.22
Indexed
SCIE
SCOPUS
Journal Title
ELECTRONICS
Volume
10
Number
22
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/4259
DOI
10.3390/electronics10222830
ISSN
2079-9292
2079-9292
Abstract
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.
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