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Journals / Anadolu Bil Meslek Yüksekokulu Dergisi / 2026 / Cilt: 21 Sayı: 73

Bluetooth-controlled smart home automation with adaptive lighting and security features

Bluetooth kontrollü uyarlanabilir aydınlatma ve güvenlik özelliklerine sahip akıllı ev otomasyon sistemi

Kutay Damar(MANISA CELAL BAYAR UNIVERSITY)0009-0007-6281-2660
Mohammad Ruhul Amin Bhuiyan(ISLAMIC UNIVERSITY)0000-0001-7335-4158
Hayati Mamur(MANİSA CELAL BAYAR ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ)0000-0001-7555-5826
Pages
151–169
Publication Date
2026-07-20
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Experimental results show that the adaptive lighting algorithm, which employs an exponential smoothing filter, prevents flickering, and the security recording system successfully logs all unauthorized attempts.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Smart home technologies play a crucial role in energy efficiency and user comfort.
📊
Key Findings & Data:The system integrates environmental sensing such as temperature, humidity, light, and motion with a Finite State Machine (FSM) control algorithm.
💡
Conclusion & Impact:Experimental results show that the adaptive lighting algorithm, which employs an exponential smoothing filter, prevents flickering, and the security recording system successfully logs all unauthorized attempts.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Akıllı ev · IoT · Bluetooth

Abstract

Smart home technologies play a crucial role in energy efficiency and user comfort. However, commercial systems are often expensive and lack customizable security features. This study presents a cost-effective, hybrid-controlled smart home automation prototype designed with microcontroller (MCU) and Bluetooth communication. The system integrates environmental sensing such as temperature, humidity, light, and motion with a Finite State Machine (FSM) control algorithm. A unique “Black Box” feature has been developed using EEPROM to record critical security events and timestamps. The system is controlled via a custom Android application developed with Mobile Application Interface (MIT App Inventor), allowing for both manual override and autonomous operation. Experimental results show that the adaptive lighting algorithm, which employs an exponential smoothing filter, prevents flickering, and the security recording system successfully logs all unauthorized attempts. The proposed system offers a robust application model for Internet of Things (IoT) and embedded systems.

Özet

Akıllı ev teknolojileri, enerji verimliliği ve kullanıcı konforunda çok önemli bir rol oynamaktadır. Bununla birlikte, ticari sistemler genellikle yüksek maliyetlidir ve özelleştirilebilir güvenlik özelliklerinden yoksundur. Bu çalışma, mikrodenetleyici ve Bluetooth iletişimi ile tasarlanmış, maliyet etkin, hibrit kontrollü bir akıllı ev otomasyon prototipini sunmaktadır. Sistem, sıcaklık, nem, ışık, hareket gibi çevresel algılamayı Sonlu Durum Makinesi (FSM) kontrol algoritmasıyla entegre eder. Kritik güvenlik olaylarını ve zaman damgalarını kaydetmek için EEPROM kullanılarak benzersiz bir “Kara Kutu” özelliği geliştirilmiştir. Sistem, mobil uygulama arayüzü (MIT App Inventor) ile geliştirilen özel bir Android uygulaması aracılığıyla kontrol edilir ve hem manuel geçersiz kılma hem de otonom çalışma imkânı sağlar. Deneysel sonuçlar, üstel düzeltme filtresi kullanan uyarlanabilir aydınlatma algoritmasının titremeyi önlediğini ve güvenlik kayıt sisteminin tüm yetkisiz girişimleri başarıyla kaydettiğini göstermiştir. Önerilen sistem, Nesnelerin İnterneti (IoT) ve gömülü sistem için sağlam bir uygulama modeli sunmaktadır.

🔖

Cite This Article

Damar, K., Bhuiyan, M. R. A., Mamur, H. (2026). Bluetooth-controlled smart home automation with adaptive lighting and security features. Anadolu Bil Meslek Yüksekokulu Dergisi, Cilt: 21 Sayı: 73, 151–169. https://ajindex.com/articles/1579887

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References (35)

  1. Algani, Y. M., Balaji, S., AlbertRaj, A., Elangovan, G., PJ, S. K., Agordzo, G. K., & Pentang, J. T. (2021). Integration of internet protocol and embedded system on IoT device automation.
  2. Alim, S. A., Shobowale, K. O., David, C. N., Mahmood, M. N., & Ismail, N. (2024). Development of smart home automation system for light, sockets and fan control with mobile application. Journal of Engineering for Development, 16(4), 40-54.
  3. Babangida, L., Perumal, T., Mustapha, N., & Yaakob, R. (2022). Internet of Things (IoT) based activity recognition strategies in smart homes: A review. IEEE Sensors Journal, 22(9), 8327-8336.
  4. Candan, A., & Erdem, M. (2020). Design and implementation of a lowcost smart home automation system using Arduino and mobile control. Journal of Electronic Systems, 12(3), 145–152.
  5. Chakraborty, A., Islam, M., Shahriyar, F., Islam, S., Zaman, H. U., & Hasan, M. (2023). Smart home system: a comprehensive review. Journal of Electrical and Computer Engineering, 2023(1), 7616683.
  6. Chinnathambi, N. D., Nagappan, K., Samuel, C. R., & Tamilarasu, K. (2022). Internet of things-based smart residential building energy management system for a grid-connected solar photovoltaic-powered DC residential building. International Journal of Energy Research, 46(2), 1497-1517.
  7. Das, D., Nishimura, Y., Vivek, R. P., Takeda, N., Fish, S. T., Ploetz, T., & Chernova, S. (2023). Explainable activity recognition for smart home systems. ACM Transactions on Interactive Intelligent Systems, 13(2), 1-39.
  8. Dobrojevic, M., & Bacanin, N. (2022). IoT as a backbone of intelligent homestead automation. Electronics, 11(7), 1004.
  9. Dwiansyah, R. O., & Prasetya, D. A. (2022). Smart home system with radio frequency using blynk application. Emitor: Jurnal Teknik Elektro, 22(2), 177-184.
  10. Giannaros, A., Karras, A., Theodorakopoulos, L., Karras, C., Kranias, P., Schizas, N.,. & Tsolis, D. (2023). Autonomous vehicles: Sophisticated attacks, safety issues, challenges, open topics, blockchain, and future directions. Journal of Cybersecurity and Privacy, 3(3), 493- 543.
  11. Gunge, V. S., & Yalagi, P. S. (2016). Smart home automation: a literature review. International Journal of Computer Applications, 975(8887-8891), 24679-2568.
  12. Gupta, N., & Singh, R. (2019). IoT-based home automation using Bluetooth and sensor networks. International Conference on Smart Technologies (pp. 88–93). IEEE.
  13. He, J., Lo, D. C. T., Xie, Y., & Lartigue, J. (2016, October). Integrating Internet of Things (IoT) into STEM undergraduate education: Case study of a modern technology infused courseware for embedded system course. In 2016 IEEE frontiers in education conference (FIE) (pp. 1-9). IEEE.
  14. He, W., Baig, M. J. A., & Iqbal, M. T. (2024). An Internet of things— supervisory control and data acquisition (IoT-SCADA) architecture for photovoltaic system monitoring, control, and inspection in real time. Electronics, 14(1), 42.
  15. İlhan, B., Karakaya, S., & Doğan, F. (2021). Development of an energy-adaptive lighting system using LDR-based feedback control. International Journal of Embedded Systems, 9(2), 101–110.
  16. Khairullah, S. S., & Sharkawy, A. N. (2022). Design and implementation of a Reliable and Secure Controller for Smart Home Applications based on PLC. Journal of Robotics and Control (JRC), 3(5), 614-621.
  17. Kim, J., & Park, H. (2018). Real-time environmental monitoring using DHT22 temperature-humidity sensors for low-power automation systems. Sensors and Actuators A, 275, 72–80.
  18. Kumar, V., & Verma, A. (2020). Performance evaluation of HC- 05/HC-06 Bluetooth modules in embedded control applications. International Journal of Wireless Technologies, 4(1), 33–39.
  19. Mehmood, M. U., Chun, D., Han, H., Jeon, G., & Chen, K. (2019). A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment. Energy and Buildings, 202, 109383.
  20. Meng, H., Feng, S., & Li, C. (2024). An integrated system of energy generation, storages, and appliances consumption based on machine learning techniques and internet of things. Journal of Energy Storage, 87, 111380.
  21. Merlin Sajini, M. L., Suja, S., Merlin Gilbert Raj, S., Kowsalyadevi, S., & Maria, C. (2023). Finite state machine-based load scheduling algorithm for smart home energy management. IETE Journal of Research, 69(10), 7460-7475.
  22. Naved, H., Mustafa, R., & Khan, A. (2022). State-machine-based control architecture for hybrid manual/automatic smart systems. Proceedings of the International Conference on Computing and Automation (pp. 211–218). IEEE.
  23. Oluwafemi, I. B., Bello, O. O., & Obasanya, T. (2023). Design and implementation of a smart home automation system. Innovare Journal of Engineering and Technology, 16(4), 3-7.
  24. Popescu, S. M., Mansoor, S., Wani, O. A., Kumar, S. S., Sharma, V., Sharma, A.,. & Chung, Y. S. (2024). Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management. Frontiers in Environmental Science, 12, 1336088.
  25. Rahmanović, A., Hakić, E., Saračević, M., & Međedović, E. (2023). Application and Development of Embedded Systems with IoT Components: Aspect of Safety and Reliability. SAR Journal (2619- 9955), 6(4), 236-246.
  26. Salah, W. A., & Jamal, K. (2017). PIR-based motion detection systems: Optimization of sensing angle and delay characteristics. Electrical and Electronic Engineering Research, 5(3), 121–128.
  27. Shahidehpour, M., Li, Z., & Ganji, M. (2018). Smart cities for a sustainable urbanization: Illuminating the need for establishing smart urban infrastructures. IEEE Electrification Magazine, 6(2), 16-33.
  28. Suharto, A. (2025). Design and Build IoT Smart Home System with Blocks Based App Inventor Programming. Jurnal Penelitian Pendidikan IPA, 11(7), 1016-1026.
  29. Trivedi, P. (2016). PWM-controlled dimming algorithms for MOSFET-based LED drivers. International Journal of Power Electronics, 14(2), 92–101.
  30. Xu, B., Hussain, B., Wang, Y., Cheng, H. C., & Yue, C. P. (2022). Smart home control system using vlc and bluetooth enabled ac light bulb for 3d indoor localization with centimeter-level precision. Sensors, 22(21), 8181.
  31. Vandana, S. S., Abinandhan, K., & Ramesh, S. R. (2022, June). Implementation of smart home using finite state machine model. In 2022 7th International Conference on Communication and Electronics Systems (ICCES) (pp. 45-49). IEEE.
  32. Visan, I., & Diaconu, E. M. (2022). Home automation system using ESP8266 microcontroller and Blynk application. The Scientific Bulletin of Electrical Engineering Faculty, 21(2), 59-62.
  33. Yavuz, E. (2024). Low-Cost Embedded System Design for Smart Home Automation Using RF Technology. Applied Computer Systems, 29(2), 1-13.
  34. Giannaros, A., Karras, A., Theodorakopoulos, L., Karras, C., Kranias, P., Schizas, N.,. & Tsolis, D. (2023). Autonomous vehicles: Sophisticated attacks, safety issues, challenges, open topics, blockchain, and future directions. Journal of Cybersecurity and Privacy, 3(3), 493- 543.
  35. Popescu, S. M., Mansoor, S., Wani, O. A., Kumar, S. S., Sharma, V., Sharma, A.,. & Chung, Y. S. (2024). Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management. Frontiers in Environmental Science, 12, 1336088.