Computer Vision Conference (CVC) 2026
21-22 May 2026
Publication Links
IJACSA
Special Issues
Computer Vision Conference (CVC)
Computing Conference
Intelligent Systems Conference (IntelliSys)
Future Technologies Conference (FTC)
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 7, 2025.
Abstract: This paper presents the development of the Home Network Attached Storage (HOMENAS) using Raspberry Pi with a Telegram Bot Notification. Network Attached Storage (NAS) is an independent storage system connected directly to the network that can be accessed easily. NAS devices are readily available on the market nowadays. However, the current price is too expensive, consumes more electricity and lacks a notification mechanism. This paper proposes the development of HOMENAS at a lower cost and consumes less power than the current NAS devices available on the market. The proposed HOMENAS is also integrated with the Telegram Bot, which can notify users of the progress of downloading files. 95% of the energy cost can be reduced by implementing a Raspberry Pi as the Home Network Attached Storage. A network performance test has been conducted to evaluate the streaming rate for single and multiple users with wired and wireless connections. The result finding shows that the Raspberry Pi not only matches the performance of laptop but, in some aspects, it has better results in torrent-based file downloading tasks.
Nurul Najwa Abdul Rahid @ Abdul Rashid, Syafnidar Abdul Halim, Siti Maisarah Md Zain and Nik Aiman Shafiq Nik Shukri. “Home Network Attached Storage (HOMENAS) Using Raspberry Pi with Telegram Bot Notification”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.7 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0160768
@article{Rashid2025,
title = {Home Network Attached Storage (HOMENAS) Using Raspberry Pi with Telegram Bot Notification},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160768},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160768},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {7},
author = {Nurul Najwa Abdul Rahid @ Abdul Rashid and Syafnidar Abdul Halim and Siti Maisarah Md Zain and Nik Aiman Shafiq Nik Shukri}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.