Intelligent Multilevel Fusion System for Wireless Sensor Network Virtualization Using Deep Reinforcement Learning in Education

Shahad; Aws; Waleed K.; Mustafa Musa; Mohammed Hasan; M.; Asaad Shakir; Ahmed Hussein; Ahmed F.; Nuridawati; Kadim A.; A. Abd Ali

doi:https://doi.org/10.54216/FPA.100107

Full Length Article

Volume 10 • Issue 1 • PP: 116-127 • 2023

Intelligent Multilevel Fusion System for Wireless Sensor Network Virtualization Using Deep Reinforcement Learning in Education

Shahad Al-yousif ^1*

mail

,

Aws Nabeel ²

mail

,

Waleed K. Ibrahim ³

mail

,

Mustafa Musa Jaber ⁴

mail

,

Mohammed Hasan Ali ⁵

mail

,

M. jaber ⁶

mail

,

Asaad Shakir Hameed ⁷

mail

,

Ahmed Hussein Al-khayyat ⁸

mail

,

Ahmed F. Omer ⁹

mail

,

Nuridawati Mustafa ¹⁰

mail

,

Kadim A. Jabbar ¹¹

mail

,

A. Abd Ali Abbood ¹¹

mail

¹Department, College of Electrical and Electronic Engineering Department, College of Engineering, Gulf University, Sanad 26489, Kingdom of Bahrain; university of northampton, faculty of engine

²Dijlah University College,Baghdad, Iraq

³Department of Medical Instrumentation Techniques Engineering, al-farahidi University, Baghdad, Iraq

⁴Institute of Informatics and Computing in Energy, Univerity tenaga nasional, Kajang, Malaysia

⁵Computer Techniques Engineering Department, Faculty of Information Technology, Imam Ja’afar Al-Sadiq University, Najaf 10023, Iraq

⁶Department of Computer Science, Al-turath University College, Baghdad, Iraq

⁷Quality Assurance and Academic Performance Unit, Mazaya University College Thi Qar Department of Quality Assurance, The Islamic University, Najaf, Iraq

⁸Medical instruments engineering techniques, National University of science and technology, Thi Qar,Iraq

⁹Computer Technology Engineering, College of Engineering Technology, Al-Kitab University, Iraq

¹⁰Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, 75450 Durian Tunggal, Melaka, Malaysia

¹¹Department of Business Administration, Al-Mustaqbal University College, Babylon, Hilla, 51001, Iraq

* Corresponding Author.

DOI https://doi.org/10.54216/FPA.100107

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Received: June 02, 2022 Accepted: November 08, 2022

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Abstract

wireless sensor networks (WSN) in ubiquitous learning environments to enhance teaching and learning quality. WSNs can serve as a learner-to-context interface, enabling learners to interact with the learning environment while collecting contextual information. With the help of WSN virtualization technology, learners can leverage different virtualized characteristics of the state-of-the-art WSN and engage with the ubiquitous learning paradigm to gain knowledge and skills. The report examines the current state of WSN virtualization and its potential for sharing in this context. Research concerns are discussed in-depth, and an in-depth overview of the current state of the art is provided. This paper presents the fundamentals of WSN virtualization and argues for its usefulness. By allowing learners to learn while on the go in an environment that interests them, gadgets and embedded computers work together to keep students connected to their learning environment. Recent years have seen an increase in interest in deep reinforcement learning technologies. Despite the availability of several internet resources for researching this field, it might be challenging for those just getting started to design effective teaching systems for autonomous vehicles. This article offers a model for a highly effective and interactive ubiquitous learning environment system based on ubiquitous computing technology. An educational system based on deep reinforcement learning and system development is developed in this project using the WSNV-ES method. The web-based system that has been designed can do the following: settings for reinforcing student success, learning scripts to run, and the learning state to monitor are described.

Keywords

Education Intelligent Multilevel Fusion System WSN DRL Students Technology.

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Al-yousif, Shahad, Nabeel, Aws, Ibrahim, Waleed K., Jaber, Mustafa Musa, Ali, Mohammed Hasan, jaber, M., Hameed, Asaad Shakir, Al-khayyat, Ahmed Hussein, Omer, Ahmed F., Mustafa, Nuridawati, Jabbar, Kadim A., Abbood, A. Abd Ali. "Intelligent Multilevel Fusion System for Wireless Sensor Network Virtualization Using Deep Reinforcement Learning in Education." Fusion: Practice and Applications, vol. Volume 10, no. Issue 1, 2023, pp. 116-127. DOI: https://doi.org/10.54216/FPA.100107

Al-yousif, S., Nabeel, A., Ibrahim, W., Jaber, M., Ali, M., jaber, M., Hameed, A., Al-khayyat, A., Omer, A., Mustafa, N., Jabbar, K., Abbood, A. (2023). Intelligent Multilevel Fusion System for Wireless Sensor Network Virtualization Using Deep Reinforcement Learning in Education. Fusion: Practice and Applications, Volume 10(Issue 1), 116-127. DOI: https://doi.org/10.54216/FPA.100107

Al-yousif, Shahad, Nabeel, Aws, Ibrahim, Waleed K., Jaber, Mustafa Musa, Ali, Mohammed Hasan, jaber, M., Hameed, Asaad Shakir, Al-khayyat, Ahmed Hussein, Omer, Ahmed F., Mustafa, Nuridawati, Jabbar, Kadim A., Abbood, A. Abd Ali. "Intelligent Multilevel Fusion System for Wireless Sensor Network Virtualization Using Deep Reinforcement Learning in Education." Fusion: Practice and Applications Volume 10, no. Issue 1 (2023): 116-127. DOI: https://doi.org/10.54216/FPA.100107

Al-yousif, S., Nabeel, A., Ibrahim, W., Jaber, M., Ali, M., jaber, M., Hameed, A., Al-khayyat, A., Omer, A., Mustafa, N., Jabbar, K., Abbood, A. (2023) 'Intelligent Multilevel Fusion System for Wireless Sensor Network Virtualization Using Deep Reinforcement Learning in Education', Fusion: Practice and Applications, Volume 10(Issue 1), pp. 116-127. DOI: https://doi.org/10.54216/FPA.100107

Al-yousif S, Nabeel A, Ibrahim W, Jaber M, Ali M, jaber M, Hameed A, Al-khayyat A, Omer A, Mustafa N, Jabbar K, Abbood A. Intelligent Multilevel Fusion System for Wireless Sensor Network Virtualization Using Deep Reinforcement Learning in Education. Fusion: Practice and Applications. 2023;Volume 10(Issue 1):116-127. DOI: https://doi.org/10.54216/FPA.100107

S. Al-yousif, A. Nabeel, W. Ibrahim, M. Jaber, M. Ali, M. jaber, A. Hameed, A. Al-khayyat, A. Omer, N. Mustafa, K. Jabbar, A. Abbood, "Intelligent Multilevel Fusion System for Wireless Sensor Network Virtualization Using Deep Reinforcement Learning in Education," Fusion: Practice and Applications, vol. Volume 10, no. Issue 1, pp. 116-127, 2023. DOI: https://doi.org/10.54216/FPA.100107

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