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Real-Time Scheduling in IoT Applications: A Systematic Review.

Sima Abolhassani Khajeh1, Morteza Saberikamarposhti2, Amir Masoud Rahmani3

  • 1Department of Computer Science, Islamic Azad University, Qeshm International Branch, Qeshm 79515/1393, Iran.

Sensors (Basel, Switzerland)
|January 8, 2023
PubMed
Summary

This review examines real-time scheduling in the Internet of Things (IoT), analyzing challenges and solutions across various applications from 2018-2022. It provides a classification and comparison of IoT scheduling strategies for enhanced performance and efficiency.

Keywords:
Internet of things (IoT)cloud computingfog computingreal-timescheduling

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • The Internet of Things (IoT) integrates wireless sensor networks into daily life, encompassing hardware, software, and data processing.
  • IoT sensors autonomously collect and transmit environmental data via internet gateways, forming a critical component of next-generation networks.

Approach:

  • This review systematically analyzes real-time scheduling in IoT from 2018 to 2022.
  • A classification of IoT applications (healthcare, industrial, smart city, etc.) is presented.
  • Selected studies are compared based on performance metrics like execution time, energy consumption, and makespan within their assessment environments.

Key Points:

  • Real-time scheduling is crucial for efficient IoT operation across diverse sectors.
  • Performance metrics such as execution time and energy consumption are key indicators for evaluating IoT scheduling algorithms.
  • The review categorizes IoT applications to facilitate a structured comparison of scheduling approaches.

Conclusions:

  • The study synthesizes current research on IoT real-time scheduling, highlighting advantages, disadvantages, and key concepts.
  • Future research directions are identified based on the analysis of existing literature.
  • A comprehensive understanding of IoT scheduling challenges and solutions is provided for researchers and practitioners.