The Challenges of Artificial Intelligence in Wireless Networks for the Internet of Things: Exploring Opportunities for Growth

Ijaz Ahmad; Shahriar Shahabuddin; Thilo Sauter; Erkki Harjula; Tanesh Kumar; Marcus  Meisel; Markku Juntti; Mika Ylianttila

doi:10.1109/MIE.2020.2979272

The Challenges of Artificial Intelligence in Wireless Networks for the Internet of Things: Exploring Opportunities for Growth

Ijaz Ahmad
, Shahriar Shahabuddin
, Thilo Sauter
, Erkki Harjula
, Tanesh Kumar
, Marcus Meisel
, Markku Juntti
, Mika Ylianttila

BA6402 Future communication networks

Research output: Contribution to journal › Article › Scientific › peer-review

49 Citations (Scopus)

Abstract

The Internet of Things (IoT), a term first coined by Ashton in [1], is an extension of network connectivity to physical devices, such as actuators, sensors, and mobile devices, that are enabled to interact and communicate among themselves and can be controlled or monitored remotely. The IoT, hailed as the enabler of the next industrial revolution, will transform how we view, interact with, and use the current physical systems around us. It has already had a major impact on health care, smart homes, manufacturing, commerce, education, and many other key areas of daily life.

Original language	English
Article number	9296767
Pages (from-to)	16-29
Journal	IEEE Industrial Electronics Magazine
Volume	15
Issue number	1
DOIs	https://doi.org/10.1109/MIE.2020.2979272
Publication status	Published - Mar 2021
MoE publication type	A1 Journal article-refereed

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1109/MIE.2020.2979272

https://arxiv.org/abs/2007.04705

Cite this

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title = "The Challenges of Artificial Intelligence in Wireless Networks for the Internet of Things: Exploring Opportunities for Growth",

abstract = "The Internet of Things (IoT), a term first coined by Ashton in [1], is an extension of network connectivity to physical devices, such as actuators, sensors, and mobile devices, that are enabled to interact and communicate among themselves and can be controlled or monitored remotely. The IoT, hailed as the enabler of the next industrial revolution, will transform how we view, interact with, and use the current physical systems around us. It has already had a major impact on health care, smart homes, manufacturing, commerce, education, and many other key areas of daily life.",

author = "Ijaz Ahmad and Shahriar Shahabuddin and Thilo Sauter and Erkki Harjula and Tanesh Kumar and Marcus Meisel and Markku Juntti and Mika Ylianttila",

note = "Funding Information: Shahriar Shahabuddin (shahriar [email protected]) earned his Ph.D. degree in wireless communi cations from the University of Oulu, Finland, in 2019. He is currently a sys temonchip specialist with Nokia in Finland. He earned his M.Sc. degree with distinction. He was the recipient of the Best Masters Thesis Award from the Department of Communications Engineering, University of Oulu, Finland. He has also received the Nokia Foundation Scholarship, the University of Oulu Scholarship Foundation Grant, and the Taunu Tonningen Foundation Grant. His research interest is machine learning applications for wireless communications. Publisher Copyright: {\textcopyright} 2007-2011 IEEE.",

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AU - Harjula, Erkki

AU - Kumar, Tanesh

AU - Meisel, Marcus

AU - Juntti, Markku

AU - Ylianttila, Mika

N1 - Funding Information: Shahriar Shahabuddin (shahriar [email protected]) earned his Ph.D. degree in wireless communi cations from the University of Oulu, Finland, in 2019. He is currently a sys temonchip specialist with Nokia in Finland. He earned his M.Sc. degree with distinction. He was the recipient of the Best Masters Thesis Award from the Department of Communications Engineering, University of Oulu, Finland. He has also received the Nokia Foundation Scholarship, the University of Oulu Scholarship Foundation Grant, and the Taunu Tonningen Foundation Grant. His research interest is machine learning applications for wireless communications. Publisher Copyright: © 2007-2011 IEEE.

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The Challenges of Artificial Intelligence in Wireless Networks for the Internet of Things: Exploring Opportunities for Growth

Abstract

UN SDGs

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