TY - JOUR
T1 - Recent Progress on the Convergence of the Internet of Things and Artificial Intelligence
AU - Shi, Feifei
AU - Ning, Huansheng
AU - Huangfu, Wei
AU - Zhang, Fan
AU - Wei, Dawei
AU - Hong, Tao
AU - Daneshmand, Mahmoud
N1 - Publisher Copyright:
© 1986-2012 IEEE.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - The overwhelming increase of ubiquitous data, connections, and services brings serious challenges, in particular facing the demanding requirements of the Internet of Things (IoT). In order to seek better solutions and achieve more efficient information retrieval, artificial intelligence (AI) serves as a strong technical earthquake and contributes a lot to data analysis and decision making. It plays a compelling role in prompting digital and intelligent services. In this article, we focus on and emphasize the great significance pertaining to the convergence of IoT and AI. We first elaborate two typical forms of AI, namely knowledge-enabled AI and data-driven AI, with a comparison between respective advantages and disadvantages. Then we survey recent progress relating to the convergence of AI throughout the IoT architecture, from the sensing layer through the network layer to the application layer. In addition, a case study of a smart city is presented illustrating the convergence between IoT and AI. Furthermore, we point out open issues worth further research. The convergence of IoT and AI marries the merits of both and enables strong capability of resolving a broad range of problems.
AB - The overwhelming increase of ubiquitous data, connections, and services brings serious challenges, in particular facing the demanding requirements of the Internet of Things (IoT). In order to seek better solutions and achieve more efficient information retrieval, artificial intelligence (AI) serves as a strong technical earthquake and contributes a lot to data analysis and decision making. It plays a compelling role in prompting digital and intelligent services. In this article, we focus on and emphasize the great significance pertaining to the convergence of IoT and AI. We first elaborate two typical forms of AI, namely knowledge-enabled AI and data-driven AI, with a comparison between respective advantages and disadvantages. Then we survey recent progress relating to the convergence of AI throughout the IoT architecture, from the sensing layer through the network layer to the application layer. In addition, a case study of a smart city is presented illustrating the convergence between IoT and AI. Furthermore, we point out open issues worth further research. The convergence of IoT and AI marries the merits of both and enables strong capability of resolving a broad range of problems.
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U2 - 10.1109/MNET.011.2000009
DO - 10.1109/MNET.011.2000009
M3 - Article
AN - SCOPUS:85091788424
SN - 0890-8044
VL - 34
SP - 8
EP - 15
JO - IEEE Network
JF - IEEE Network
IS - 5
M1 - 9199785
ER -