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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Autores principales:	Mitra Pooyandeh, Insoo Sohn
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	network edge IoT artificial intelligence security Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/761e88fb416344b3b90a5a769dd14774
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id	oai:doaj.org-article:761e88fb416344b3b90a5a769dd14774
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spelling	oai:doaj.org-article:761e88fb416344b3b90a5a769dd147742021-11-25T17:25:04ZEdge Network Optimization Based on AI Techniques: A Survey10.3390/electronics102228302079-9292https://doaj.org/article/761e88fb416344b3b90a5a769dd147742021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2830https://doaj.org/toc/2079-9292The 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.Mitra PooyandehInsoo SohnMDPI AGarticlenetwork edgeIoTartificial intelligencesecurityElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2830, p 2830 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	network edge IoT artificial intelligence security Electronics TK7800-8360
spellingShingle	network edge IoT artificial intelligence security Electronics TK7800-8360 Mitra Pooyandeh Insoo Sohn Edge Network Optimization Based on AI Techniques: A Survey
description	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.
format	article
author	Mitra Pooyandeh Insoo Sohn
author_facet	Mitra Pooyandeh Insoo Sohn
author_sort	Mitra Pooyandeh
title	Edge Network Optimization Based on AI Techniques: A Survey
title_short	Edge Network Optimization Based on AI Techniques: A Survey
title_full	Edge Network Optimization Based on AI Techniques: A Survey
title_fullStr	Edge Network Optimization Based on AI Techniques: A Survey
title_full_unstemmed	Edge Network Optimization Based on AI Techniques: A Survey
title_sort	edge network optimization based on ai techniques: a survey
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/761e88fb416344b3b90a5a769dd14774
work_keys_str_mv	AT mitrapooyandeh edgenetworkoptimizationbasedonaitechniquesasurvey AT insoosohn edgenetworkoptimizationbasedonaitechniquesasurvey
_version_	1718412414542675968

Edge Network Optimization Based on AI Techniques: A Survey

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