Optimizing IoT Applications with RTL-Based DMA Controller for Data Transfers
Authors
C. K. Shaila1, M. Jonathan Arthur1, *, G. Manoj1
1Department of Electronics and Communication Engineering, Karunya Institute of Technology and Science (KITS), Coimbatore, India
*Corresponding author.
Email: mandrujonathan@karunya.edu.in
Corresponding Author
M. Jonathan Arthur
Available Online 30 June 2025.
- DOI
- 10.2991/978-94-6463-754-0_66How to use a DOI?
- Keywords
- Direct Memory Access (DMA); Internet of Things (IoT); Register Transfer Level (RTL); Verilog; data transfer; GDS-II (Graphic Data System)
- Abstract
The design and implementation of a Direct Memory Access (DMA) controller for Internet of Things (IoT) applications are examined in this study. Effective data transfers between I/O and memory are made possible by the DMA controller, which lowers CPU load and improves system performance. Making a Register Transfer Level (RTL) model in Verilog specifically for IoT requirements is the first step in the design process. After optimization and synthesis, the final layout is created and then packaged into a GDS-II file for manufacture.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - C. K. Shaila AU - M. Jonathan Arthur AU - G. Manoj PY - 2025 DA - 2025/06/30 TI - Optimizing IoT Applications with RTL-Based DMA Controller for Data Transfers BT - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025) PB - Atlantis Press SP - 756 EP - 764 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-754-0_66 DO - 10.2991/978-94-6463-754-0_66 ID - Shaila2025 ER -