Machine learning in the Internet of Things: Designed techniques for smart cities

被引：102

作者：

Din, Ikram Ud ^{[1
]}

Guizani, Mohsen ^{[2
,3
]}

Rodrigues, Joel J. P. C. ^{[4
,5
,6
,7
]}

Hassan, Suhaidi ^{[9
,10
]}

Korotaev, Valery V. ^{[8
]}

机构：

[1] Univ Haripur, Dept Informat Technol, Haripur, Pakistan

[2] Qatar Univ, Dept Comp Sci & Engn, Doha, Qatar

[3] Qatar Univ, Grad Studies, Doha, Qatar

[4] Natl Inst Telecommun Inatel, Santa Rita Do Sapucai, MG, Brazil

[5] Inst Telecomunicacoes, Aveiro, Portugal

[6] Fed Univ Piaui UFPI, Teresina, PI, Brazil

[7] ITMO Univ, St Petersburg, Russia

[8] ITMO Univ, Dept Opt Elect Devices & Syst, St Petersburg, Russia

[9] Univ Utara Malaysia, Sch Comp, InterNetWorks Res Lab, Sintok, Kedah, Malaysia

[10] Univ Utara Malaysia, Comp Network, Sintok, Kedah, Malaysia

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2019年 / 100卷

关键词：

Internet of Things; Machine learning; Medical; Smart grid; VANET; INTELLIGENT TRANSPORTATION SYSTEMS; BIG DATA; ACCESS-CONTROL; OF-THINGS; CHALLENGES; MANAGEMENT; ANALYTICS; FRAMEWORK; SCHEME; CLASSIFICATION;

D O I：

10.1016/j.future.2019.04.017

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Machine learning is one of the emerging technologies that has grabbed the attention of academicians and industrialists, and is expected to evolve in the near future. Machine learning techniques are anticipated to provide pervasive connections for wireless nodes. In fact, machine learning paves the way for the Internet of Things (IoT)-a network that supports communications among various devices without human interactions. Machine learning techniques are being utilized in several fields such as healthcare, smart grids, vehicular communications, and so on. In this paper, we study different IoT-based machine learning mechanisms that are used in the mentioned fields among others. In addition, the lessons learned are reported and the assessments are explored viewing the basic aim machine learning techniques are expected to play in IoT networks. (C) 2019 Elsevier B.V. All rights reserved.

引用

页码：826 / 843

页数：18

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