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Design and Implementation of Thermal Comfort System based on Tasks Allocation Mechanism in Smart Homes

Author

Listed:
  • Imran

    (Department of Computer Engineering, Jeju National University, Jeju 63243, Korea)

  • Shabir Ahmad

    (Department of Computer Engineering, Jeju National University, Jeju 63243, Korea)

  • DoHyeun Kim

    (Department of Computer Engineering, Jeju National University, Jeju 63243, Korea)

Abstract

The recent trend in the Internet of Things (IoT) is bringing innovations in almost every field of science. IoT is mainly focused on the connectivity of things via the Internet. IoT’s integration tools are developed based on the Do It Yourself (DIY) approach, as the general public lacks technical skills. This paper presents a thermal comfort system based on tasks allocation mechanism in smart homes. This paper designs and implements the tasks allocation mechanism based on virtual objects composition for IoT applications. We provide user-friendly drag and drops panels for the new IoT users to visualize both task composition and device virtualization. This paper also designs tasks generation from microservices, tasks mapping, task scheduling, and tasks allocation for thermal comfort applications in smart home. Microservices are functional units of services in an IoT environment. Physical devices are registered, and their corresponding virtual objects are initialized. Tasks are generated from the microservices and connected with the relevant virtual objects. Afterward, they are scheduled and finally allocated on the physical IoT device. The task composition toolbox is deployed on the cloud for users to access the application remotely. The performance of the proposed architecture is evaluated using both real-time and simulated scenarios. Round trip time (RTT), response time, task dropping and latency are used as the performance metrics. Results indicate that even for worst-case scenarios, values of these metrics are negligible, which makes our architecture significant, better and ideal for task allocation in IoT network.

Suggested Citation

  • Imran & Shabir Ahmad & DoHyeun Kim, 2019. "Design and Implementation of Thermal Comfort System based on Tasks Allocation Mechanism in Smart Homes," Sustainability, MDPI, vol. 11(20), pages 1-24, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5849-:d:278899
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    References listed on IDEAS

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    1. Shabir Ahmad & Faisal Mehmood & Do-Hyeun Kim, 2019. "A DIY Approach for the Design of Mission-Planning Architecture Using Autonomous Task–Object Mapping and the Deployment Model in Mission-Critical IoT Systems," Sustainability, MDPI, vol. 11(13), pages 1-23, July.
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    Cited by:

    1. Martín Pensado-Mariño & Lara Febrero-Garrido & Pablo Eguía-Oller & Enrique Granada-Álvarez, 2021. "Feasibility of Different Weather Data Sources Applied to Building Indoor Temperature Estimation Using LSTM Neural Networks," Sustainability, MDPI, vol. 13(24), pages 1-15, December.
    2. Eric Hitimana & Gaurav Bajpai & Richard Musabe & Louis Sibomana & Jayavel Kayalvizhi, 2021. "Implementation of IoT Framework with Data Analysis Using Deep Learning Methods for Occupancy Prediction in a Building," Future Internet, MDPI, vol. 13(3), pages 1-19, March.
    3. Anam-Nawaz Khan & Naeem Iqbal & Atif Rizwan & Rashid Ahmad & Do-Hyeun Kim, 2021. "An Ensemble Energy Consumption Forecasting Model Based on Spatial-Temporal Clustering Analysis in Residential Buildings," Energies, MDPI, vol. 14(11), pages 1-25, May.
    4. Shahid Nawaz Khan & Syed Ali Abbas Kazmi & Abdullah Altamimi & Zafar A. Khan & Mohammed A. Alghassab, 2022. "Smart Distribution Mechanisms—Part I: From the Perspectives of Planning," Sustainability, MDPI, vol. 14(23), pages 1-109, December.
    5. Imran & Faisal Jamil & Dohyeun Kim, 2021. "An Ensemble of Prediction and Learning Mechanism for Improving Accuracy of Anomaly Detection in Network Intrusion Environments," Sustainability, MDPI, vol. 13(18), pages 1-22, September.
    6. Mateusz Tomal, 2020. "Moving towards a Smarter Housing Market: The Example of Poland," Sustainability, MDPI, vol. 12(2), pages 1-25, January.

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    1. Faisal Mehmood & Shabir Ahmad & DoHyeun Kim, 2019. "Design and Implementation of an Interworking IoT Platform and Marketplace in Cloud of Things," Sustainability, MDPI, vol. 11(21), pages 1-22, October.

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