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Smart Android Based Home Automation System Using Internet of Things (IoT)

Author

Listed:
  • Muhammad Abbas Khan

    (Department of Electrical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta 87300, Pakistan)

  • Ijaz Ahmad

    (Shenzhen College of Advanced Technology, University of Chinese Academy Sciences, Shenzhen 518055, China)

  • Anis Nurashikin Nordin

    (Department of Electrical & Computer Engineering, International Islamic University Malaysia, Kuala Lumpur 43200, Malaysia)

  • A. El-Sayed Ahmed

    (Mathematics Department, Faculty of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Hiren Mewada

    (Electrical Engineering Department, Prince Mohammad Bin Fahd University, Al Khobar 34754, Saudi Arabia)

  • Yousef Ibrahim Daradkeh

    (Department of Computer Engineering and Networks, College of Engineering in Wadi Alddawasir, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia)

  • Saim Rasheed

    (Department of Information Technology, Faculty of Computing and IT, King Abdulaziz University, Jeddah 22254, Saudi Arabia)

  • Elsayed Tag Eldin

    (Electrical Engineering Department, Faculty of Engineering & Technology, Future University in Egypt, New Cairo 11845, Egypt)

  • Muhammad Shafiq

    (Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea)

Abstract

Recently, home automation system has getting significant attention because of the fast and advanced technology, making daily living more convenient. Almost everything has been digitalized and automated. The development of home automation will become easier and more popular because of the use of the Internet of Things (IoT). This paper described various interconnection systems of actuators, sensors to enable multiple home automation implementations. The system is known as HAS (Home automation system). It operates by connecting the robust Application Programming Interface (API), which is the key to a universal communication method. The HAS used devices, often implemented the actuators or sensors that have an upwards communication network followed by HAS (API). Most of the devices of the HAS (home automation system) used Raspberry Pi boards and ESP8285 chips. A smartphone application has been developed that allows users to control a wide range of home appliances and sensors from their smartphones. The application is user-friendly, adaptable, and beneficial for consumers and disabled people. It has the potential to be further extended via the use of various devices. The main objectives of this work are to make our home automation system, more secure and intelligent. HAS is a highly effective and efficient computational system that may be enhanced with a variety of devices and add-ons.

Suggested Citation

  • Muhammad Abbas Khan & Ijaz Ahmad & Anis Nurashikin Nordin & A. El-Sayed Ahmed & Hiren Mewada & Yousef Ibrahim Daradkeh & Saim Rasheed & Elsayed Tag Eldin & Muhammad Shafiq, 2022. "Smart Android Based Home Automation System Using Internet of Things (IoT)," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10717-:d:900199
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    References listed on IDEAS

    as
    1. Nicole D. Sintov & P. Wesley Schultz, 2017. "Adjustable Green Defaults Can Help Make Smart Homes More Sustainable," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    2. Omowunmi Mary Longe & Khmaies Ouahada & Suvendi Rimer & Ashot N. Harutyunyan & Hendrik C. Ferreira, 2017. "Distributed Demand Side Management with Battery Storage for Smart Home Energy Scheduling," Sustainability, MDPI, vol. 9(1), pages 1-13, January.
    3. Umar Islam & Ali Muhammad & Rafiq Mansoor & Md Shamim Hossain & Ijaz Ahmad & Elsayed Tag Eldin & Javed Ali Khan & Ateeq Ur Rehman & Muhammad Shafiq, 2022. "Detection of Distributed Denial of Service (DDoS) Attacks in IOT Based Monitoring System of Banking Sector Using Machine Learning Models," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    4. Saurabh Singh & Pradip Kumar Sharma & Jong Hyuk Park, 2017. "SH-SecNet: An Enhanced Secure Network Architecture for the Diagnosis of Security Threats in a Smart Home," Sustainability, MDPI, vol. 9(4), pages 1-19, March.
    5. Jinsung Byun & Sanguk Park & Keonhee Cho & Sehyun Park, 2018. "Zone-Aware Service Platform: A New Concept of Context-Aware Networking and Communications for Smart-Home Sustainability," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
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    Cited by:

    1. Abd-elmegeid Amin Ali & Mohamed Mashhour & Ahmed S. Salama & Rasha Shoitan & Hassan Shaban, 2023. "Development of an Intelligent Personal Assistant System Based on IoT for People with Disabilities," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    2. Amjad Almusaed & Ibrahim Yitmen & Asaad Almssad, 2023. "Enhancing Smart Home Design with AI Models: A Case Study of Living Spaces Implementation Review," Energies, MDPI, vol. 16(6), pages 1-23, March.

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