Trilateral Plane Estimation Between Nodes for the Improved Home Automation System Performance with the Integrated Internet of Things

Authors

  • Ipseeta Nanda Faculty of Information Technology, Gopal Narayan Singh University,Jamuhar,Rohtas Bihar,India
  • Meenakshi Sharma OSD, Department of Education, Sanskriti University, Mathura, Uttar Pradesh, India
  • Gagandeep Singh Gill Kurukshetra University, Department of Instrumentation, Not Applicable Kurukshetra

Keywords:

Automated Home System, Internet of Things (IoT), trilateral Plane, Euclidean Distance

Abstract

The home automated system is also stated as the Smart Home technology which incorporates the Internet of Things (IoT). The application of IoT in the home automated system effectively practices every element in the home for the automated process. As smart home technology comprises amenities that are equipped with communication technology for the automated and remote-control process. The environmental control amenities in the automated system are air conditioning, heating, and lighting system. This paper presented a Trilateral Euclidean estimation of Information (TEEI) for the IoT integrated automated system. The Proposed TEEI model uses the Euclidean distance estimation between the nodes in the environment. Based on the trilateral estimation between the nodes the features are evaluated for application control. The experimental analysis is performed for the automated system for the temperature-sensing environment. The simulation analysis confirmed that the proposed TEEI model is effective for the coverage range of 100 meters. The relay in the automated system is turned ON when the temperature reaches around 260C. Through analysis, it can be concluded that the proposed TEEI model is effective for the automated home control system.

Downloads

Download data is not yet available.

References

Manojkumar, P., Suresh, M., Ayub Ahmed, A. A., Panchal, H., Rajan, C. A., Dheepanchakkravarthy, A., ... & Sadasivuni, K. K. (2021). A novel home automation distributed server management system using Internet of Things. International Journal of Ambient Energy, 1-6.

Islam, R., Rahman, M. W., Rubaiat, R., Hasan, M. M., Reza, M. M., & Rahman, M. M. (2022). LoRa and server-based home automation using the internet of things (IoT). Journal of King Saud University-Computer and Information Sciences, 34(6), 3703-3712.

Bheesetti, D. S. K., Bhogadi, V. N., Kintali, S. K., & Zia Ur Rahman, M. (2021). A complete home automation strategy using internet of things. In ICCCE 2020 (pp. 363-373). Springer, Singapore.

Taiwo, O., & Ezugwu, A. E. (2021). Internet of things-based intelligent smart home control system. Security and Communication Networks, 2021.

Maragatham, T., Balasubramanie, P., & Vivekanandhan, M. (2021, February). IoT Based Home Automation System using Raspberry Pi 4. In IOP Conference Series: Materials Science and Engineering (Vol. 1055, No. 1, p. 012081). IOP Publishing.

Bansal, M., Sirpal, V., & Choudhary, M. K. (2022). Advancing e-Government using Internet of Things. In Mobile Computing and Sustainable Informatics (pp. 123-137). Springer, Singapore.

Ilyas, M., Ucan, O. N., & El Mohamad, Y. (2021, February). Smart Home Automation System Design Based on IoT Device Cloud. In ICMI 2021 (pp. 116-123).

Hasibuan, A., Rosdiana, R., & Tambunan, D. S. (2021). Design and Development of An Automatic Door Gate Based on Internet of Things Using Arduino Uno. Bulletin of Computer Science and Electrical Engineering, 2(1), 17-27.

Hasibuan, A., Rosdiana, R., & Tambunan, D. S. (2021). Design and Development of An Automatic Door Gate Based on Internet of Things Using Arduino Uno. Bulletin of Computer Science and Electrical Engineering, 2(1), 17-27.

Patil, M. A., Parane, K., Poojara, S., & Patil, A. (2021). Internet-of-things and mobile application based hybrid model for controlling energy system. International Journal of Information Technology, 13(5), 2129-2138.

Yar, H., Imran, A. S., Khan, Z. A., Sajjad, M., & Kastrati, Z. (2021). Towards smart home automation using IoT-enabled edge-computing paradigm. Sensors, 21(14), 4932.

Sadeeq, M. A., & Zeebaree, S. (2021). Energy management for internet of things via distributed systems. Journal of Applied Science and Technology Trends, 2(02), 59-71.

Gupta, R., Shivalal Patro, B., & Behera, M. C. (2021). Automated Water Management System Using Internet of Things. In Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (pp. 435-440). Springer, Singapore.

Ferozkhan, A. B., & Anandharaj, G. (2021). The Embedded Framework for Securing the Internet of Things. Journal of Engineering Research, 9(2).

Pandey, A., Singh, Y., & Malik, M. (2021). Design and development of home automation system. In Intelligent Computing and Applications (pp. 245-254). Springer, Singapore.

Ratta, P., Kaur, A., Sharma, S., Shabaz, M., & Dhiman, G. (2021). Application of blockchain and internet of things in healthcare and medical sector: applications, challenges, and future perspectives. Journal of Food Quality, 2021.

The coordinate estimation with the TEEI

Downloads

Published

19.12.2022

How to Cite

Nanda, I. ., Sharma, M. ., & Singh Gill, G. . (2022). Trilateral Plane Estimation Between Nodes for the Improved Home Automation System Performance with the Integrated Internet of Things. International Journal of Intelligent Systems and Applications in Engineering, 10(2s), 217 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2387

Issue

Section

Research Article

Most read articles by the same author(s)