Nano-Networking and Quantum Dot Communication Protocols for Ultra-Low Latency and Scalable Mobile E-Learning Deployment
Fariza MaratovaDepartment of Primary Education, Navoi State University, Navoi, Uzbekistan. farizamaratova1998@gmail.com0009-0006-6445-5444
Nematjon MamajonovProfessor, Department of Theory of Physical Education, Fergana State University, Fergana, Uzbekistan; University of Tashkent for Applied Sciences, Tashkent, Uzbekistan. nematjon_mamajonov@mail.ru0009-0006-0149-3398
Shakhlo JamolovaBukhara State University, Bukhara, Uzbekistan. shahlojamolova3@gmail.com0009-0003-2358-4627
Shakhboz MeylikulovDepartment of Information Technology and Exact Sciences, Termez University of Economics and Service, Termez, Uzbekistan. shaxboz_meyliqulov@tues.uz0009-0008-4220-8009
Jamoliddin JuraevJizzakh State Pedagogical University, Jizzakh, Uzbekistan. dzhuraev_dzhamoliddin@mail.ru0000-0002-2337-5767
Nilufar EsanmuradovaNational Research University “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers institute, Tashkent, Uzbekistan; Kimyo International University in Tashkent, Tashkent, Uzbekistan. nilufar1289@gmail.com0000-0001-9646-4640
Mobile e-learning systems are rapidly emerging, posing important challenges for the development of supports for dense, real-time, and multimedia-rich educational interactions. Traditional wireless and edge-assisted learning systems are prone to high latency, low scalability, and poor communication reliability, especially in scenarios that require synchronous collaboration and immersive learning and continuous data transmission. The requirements for these limitations require the development of advanced communication paradigms that can guarantee ultra-low latency, high throughput, and efficient use of resources in next-generation educational networks. This paper presents a Nano-Networking and Quantum Dot Communication Protocol (NN-QDCP) framework for improving scalability and communication efficiency in a mobile e-learning environment. The design combines nano-sensor technology for network monitoring at a fine level, quantum dot technology to enhance signal efficiency, and edge intelligence to dynamically allocate resources and optimize network traffic. The overall architecture supports smart, low-latency delivery of educational material with high reliability in a dense wireless learning environment. Experimental assessment shows that the proposed NN-QDCP outperforms the existing models like CMLN, EALS, BBLF, and AIWLN to a great extent. The proposed approach provides a minimum latency of 14.3ms, which is much less than that of the AIWLN (22.1ms) and conventional system (42.6ms), and reduces the transmission delay significantly. In addition, the throughput is increased to 412 Mbps, and the packet delivery ratio is 98.1%, with very high reliability of communication. At the same time, the energy efficiency and scalability are improved to 94.6% and 97.3%, respectively. The enhancements underscore the success of the combination of nanoscale networking with quantum-enhanced communication and intelligent edge optimization. In general, the NN-QDCP architecture offers a powerful and scalable solution for next-generation mobile e-learning systems, allowing efficient, adaptive, and high-performance educational communication infrastructures for future immersive and large-scale digital learning environments.