Modelling an Adjustable Autonomous Multi-agent Internet of Things System for Elderly Smart Home

  • Salama A. MostafaEmail author
  • Saraswathy Shamini Gunasekaran
  • Aida Mustapha
  • Mazin Abed Mohammed
  • Wafaa Mustafa Abduallah
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 953)


Internet of Things (IoT) introduces many intelligent applications that are closely attached to humans’ daily activities. This advanced technology attempts to bridge the gap between the information world and the physical world. Recent studies investigate efficient, flexible, scalable and reliable IoT systems that not only control things and devices on behalf of humans but adaptable to humans’ preferences. However, the autonomous control of the IoT in a smart home or healthcare environment subjects to many factors such as human health, time and date. For example, peoples’ needs and behaviours during workdays differ from weekends or a young person needs and behaviours differs from an elderly person. Hence, the practical setting of a smart home entails flexible management to the autonomous control of IoT systems. This paper proposes an architecture of Adjustable-Autonomous Multi-agent IoT (AAMA-IoT) system to resolve a number of the IoT management of control and application interface challenges. The AAMA-IoT is applied in an elderly smart home simulation in which autonomous agents control passive things such as a chair or door and active things such as a television or an air conditioner. The test results show that the AAMA-IoT system controls 14 things with average activities recognition accuracy of 96.97%.


Autonomous agents Adjustable autonomy Human-agent interaction Internet of things Smart home Elderly user 



This project is partially sponsored by University Tenaga Nasional (UNITEN) under the UNIIG Grant Scheme No. J510050772. It is also supported by Universiti Tun Hussein Onn Malaysia (UTHM) under the Postdoctoral D004 grant.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Salama A. Mostafa
    • 1
    Email author
  • Saraswathy Shamini Gunasekaran
    • 2
  • Aida Mustapha
    • 1
  • Mazin Abed Mohammed
    • 3
  • Wafaa Mustafa Abduallah
    • 4
  1. 1.Faculty of Computer Science and Information TechnologyUniversiti Tun Hussein Onn MalaysiaJohorMalaysia
  2. 2.Department of Computer Science and InformaticsUniversiti Tenaga NasionalKajangMalaysia
  3. 3.Faculty of Computer Science and Information TechnologyUniversity of AnbarAnbarIraq
  4. 4.Faculty of Computers and ITNawroz UniversityDuhokIraq

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