Expert system for identifying and analyzing the IoT devices using Augmented Reality Approach
Abstract
Biometrics In conjunction with the new development of the Internet of Things (IoT), augmented reality (AR) systems are evolving to visualize 3D virtual models of the real world into an intelligent and interactive virtual reality environment that facilitates physical identification of objects and defines their specifications efficiently. The integration between AR and IoT in a complementary way helps identify network-related items' specifications and interact with the Internet of Things more efficiently. An identity is a dedicated, publicly known attribute or set of names for an individual device. Typically, identifiers operate within a specific area or network, making it difficult to identify things globally. This paper explores the use of Augmented Reality (AR) Technology for identifying devices and displaying relevant information about the device to the user. Based on the developed model network, the developed system of identification of IoT devices was tested. Also, the traffic generated by the AR device when generating requests to the organization server was investigated. According to the test results, the system is undemanding to the main network indicators. The system-generated traffic is self-similar. The test results show that the server software can solve the problems of identifying IoT devices through interaction with augmented reality devices.
References
- . Albahri, M., Kirichek, R., Ateya, A. A., Muthanna, A., & Borodin, A. (2018, November). Combating counterfeit for IoT system based on DOA. In 2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) (pp. 1-5). IEEE.
- . Al-Bahri, M., Yankovsky, A., Kirichek, R., & Borodin, A. (2019a). Smart system based on DOA & IoT for products monitoring & anti-counterfeiting. In 2019 4th MEC International Conference on Big Data and Smart City (ICBDSC) (pp. 1-5). IEEE.
- . Al-Bahri, M., Ruslan, K., & Aleksey, B. (2019b). Integrating internet of things with the digital object architecture. In Internet of Things, smart spaces, and next generation networks and systems (pp. 540-547). Springer, Cham.
- . Al-Bahri, M., Ruslan, K., & Aleksey, B. (2019c). Integrating internet of things with the digital object architecture. In Internet of Things, smart spaces, and next generation networks and systems (pp. 540-547). Springer, Cham.
- . Al-Bahri, M., Al-Wardi, S., Dharamshi, R. R., Al-shukail, N., & Muthanna, A. (2020, November). A Smart System Based on Digital Object Architecture to Verify the Diploma Certificates. In 2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI) (pp. 1-5). IEEE.
- . Albreem, M. A., El-Saleh, A. A., Isa, M., Salah, W., Jusoh, M., Azizan, M. M., & Ali, A. (2017, November). Green internet of things (IoT): An overview. In 2017 IEEE 4th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA) (pp. 1-6). IEEE.
- Augmented Reality,
- Internet of Things,
- Human Computer Interactions,
- IoT evaluation,
- Communication networks
Copyright (c) 2021 Author(s) of this work retain copyright and grant the journal right, publishing license of first publication with the work simultaneously licensed under Creative Commons Attribution International License (CC BY 4.0). Author(s) and ACAA permit unrestricted use, distribution, and reproduction in any medium, provided the original work with proper citation. ACAA publishing house is located in Oman / Sohar , Zip code 311. ISNI 0000 0004 9361 5767
This work is licensed under a Creative Commons Attribution 4.0 International License.