AI-Enabled Sensing and Decision-Making for IoT Systems

The influential stage of Internet of Things (IoT) has reformed all fields of life in general but specifically with the emergence of artificial intelligence (AI) has drawn the attention of researchers into a new paradigm of life standard. This revolution has been accepted around the globe for making...

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Main Authors: Hao Qinxia, Shah Nazir, Ma Li, Habib Ullah Khan, Wang Lianlian, Sultan Ahmad
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/6616279
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author Hao Qinxia
Shah Nazir
Ma Li
Habib Ullah Khan
Wang Lianlian
Sultan Ahmad
author_facet Hao Qinxia
Shah Nazir
Ma Li
Habib Ullah Khan
Wang Lianlian
Sultan Ahmad
author_sort Hao Qinxia
collection DOAJ
description The influential stage of Internet of Things (IoT) has reformed all fields of life in general but specifically with the emergence of artificial intelligence (AI) has drawn the attention of researchers into a new paradigm of life standard. This revolution has been accepted around the globe for making life easier with the use of intelligent devices such as smart sensors, actuators, and many other devices. AI-enabled devices are more intelligent and capable of doing a specific task which saves a lot of resources and time. Different approaches are available in the existing literature to tackle diverse issues of real life based on AI and IoT systems. The role of decision-making has its own importance in the AI-enabled and IoT systems. In-depth knowledge of the existing literature is dire need of the research community to summarize the literature in effective way by which practitioners and researchers can benefit from the prevailing proofs and suggest new solutions for solving a particular problem of AI-enabled sensing and decision-making for the IoT system. To facilitate research community, the proposed study presents a systematic literature review of the existing literature, organizes the evidences in a systematic way, and then analyzes it for future research. The study reported the literature of the last 5 years based on the research questions, inclusion and exclusion criteria, and quality assessment of the selected study. Finally, derivations are drawn from the included paper for future research.
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institution Kabale University
issn 1076-2787
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language English
publishDate 2021-01-01
publisher Wiley
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series Complexity
spelling doaj-art-6260eedf2a90410d920abc94cdb5bc8d2025-02-03T06:43:55ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66162796616279AI-Enabled Sensing and Decision-Making for IoT SystemsHao Qinxia0Shah Nazir1Ma Li2Habib Ullah Khan3Wang Lianlian4Sultan Ahmad5School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaDepartment of Computer Science, University of Swabi, Swabi, PakistanSchool of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaDepartment of Accounting & Information Systems, College of Business & Economics, Qatar University, Doha, QatarSchool of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaDepartment of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi ArabiaThe influential stage of Internet of Things (IoT) has reformed all fields of life in general but specifically with the emergence of artificial intelligence (AI) has drawn the attention of researchers into a new paradigm of life standard. This revolution has been accepted around the globe for making life easier with the use of intelligent devices such as smart sensors, actuators, and many other devices. AI-enabled devices are more intelligent and capable of doing a specific task which saves a lot of resources and time. Different approaches are available in the existing literature to tackle diverse issues of real life based on AI and IoT systems. The role of decision-making has its own importance in the AI-enabled and IoT systems. In-depth knowledge of the existing literature is dire need of the research community to summarize the literature in effective way by which practitioners and researchers can benefit from the prevailing proofs and suggest new solutions for solving a particular problem of AI-enabled sensing and decision-making for the IoT system. To facilitate research community, the proposed study presents a systematic literature review of the existing literature, organizes the evidences in a systematic way, and then analyzes it for future research. The study reported the literature of the last 5 years based on the research questions, inclusion and exclusion criteria, and quality assessment of the selected study. Finally, derivations are drawn from the included paper for future research.http://dx.doi.org/10.1155/2021/6616279
spellingShingle Hao Qinxia
Shah Nazir
Ma Li
Habib Ullah Khan
Wang Lianlian
Sultan Ahmad
AI-Enabled Sensing and Decision-Making for IoT Systems
Complexity
title AI-Enabled Sensing and Decision-Making for IoT Systems
title_full AI-Enabled Sensing and Decision-Making for IoT Systems
title_fullStr AI-Enabled Sensing and Decision-Making for IoT Systems
title_full_unstemmed AI-Enabled Sensing and Decision-Making for IoT Systems
title_short AI-Enabled Sensing and Decision-Making for IoT Systems
title_sort ai enabled sensing and decision making for iot systems
url http://dx.doi.org/10.1155/2021/6616279
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