A Review of Efficient Real-Time Decision Making in the Internet of Things

Emerging applications of IoT (the Internet of Things), such as smart transportation, health, and energy, are envisioned to greatly enhance the societal infrastructure and quality of life of individuals. In such innovative IoT applications, cost-efficient real-time decision-making is critical to faci...

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Main Author: Kyoung-Don Kang
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Technologies
Subjects:
Online Access:https://www.mdpi.com/2227-7080/10/1/12
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author Kyoung-Don Kang
author_facet Kyoung-Don Kang
author_sort Kyoung-Don Kang
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description Emerging applications of IoT (the Internet of Things), such as smart transportation, health, and energy, are envisioned to greatly enhance the societal infrastructure and quality of life of individuals. In such innovative IoT applications, cost-efficient real-time decision-making is critical to facilitate, for example, effective transportation management and healthcare. In this paper, we formally define real-time decision tasks in IoT, review cutting-edge approaches that aim to efficiently schedule real-time decision tasks to meet their timing and data freshness constraints, review state-of-the-art approaches for efficient sensor data analytics in IoT, and discuss future research directions.
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spelling doaj.art-b645d9133dad43dd9e0a30eec27c89d12023-11-23T22:18:51ZengMDPI AGTechnologies2227-70802022-01-011011210.3390/technologies10010012A Review of Efficient Real-Time Decision Making in the Internet of ThingsKyoung-Don Kang0Department of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USAEmerging applications of IoT (the Internet of Things), such as smart transportation, health, and energy, are envisioned to greatly enhance the societal infrastructure and quality of life of individuals. In such innovative IoT applications, cost-efficient real-time decision-making is critical to facilitate, for example, effective transportation management and healthcare. In this paper, we formally define real-time decision tasks in IoT, review cutting-edge approaches that aim to efficiently schedule real-time decision tasks to meet their timing and data freshness constraints, review state-of-the-art approaches for efficient sensor data analytics in IoT, and discuss future research directions.https://www.mdpi.com/2227-7080/10/1/12Internet of Thingsreal-time decision makingtiming and data freshness constraintspredicate evaluationreal-time schedulingsensor data analytics
spellingShingle Kyoung-Don Kang
A Review of Efficient Real-Time Decision Making in the Internet of Things
Technologies
Internet of Things
real-time decision making
timing and data freshness constraints
predicate evaluation
real-time scheduling
sensor data analytics
title A Review of Efficient Real-Time Decision Making in the Internet of Things
title_full A Review of Efficient Real-Time Decision Making in the Internet of Things
title_fullStr A Review of Efficient Real-Time Decision Making in the Internet of Things
title_full_unstemmed A Review of Efficient Real-Time Decision Making in the Internet of Things
title_short A Review of Efficient Real-Time Decision Making in the Internet of Things
title_sort review of efficient real time decision making in the internet of things
topic Internet of Things
real-time decision making
timing and data freshness constraints
predicate evaluation
real-time scheduling
sensor data analytics
url https://www.mdpi.com/2227-7080/10/1/12
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