doi: 10.18178/ijfcc.2026.15.2.634
Lightweight Transfer Mechanisms and Their Performance Evaluation in IoT DEP
- 1 Graduate School of Electrical Engineering and Electronics, Kanazawa Institute of Technology, Nonoichi, Ishikawa, Japan
- 2 Center for Electric, Optic and Energy (EOE) Applications, Kanazawa Institute of Technology, Nonoichi, Ishikawa, Japan
- 3 Office of Industry-University Collaboration Kanazawa Institute of Technology, Nonoichi, Ishikawa, Japan
- 4 Department of Electronics and Information Systems Engineering, College of Engineering, Kanazawa Institute of Technology, Nonoichi, Ishikawa, Japan
- Manuscript received May 8, 2026
- accepted August 8, 2026
- published September 22, 2026
Abstract
Different Internet of Things (IoT) platforms have been considered to efficiently offer multiple IoT services. One such platform is the IoT Data Exchange Platform (IoT DEP), which is currently being standardized by ISO/IEC JTC1/SC41. A key challenge for the application of IoT DEP is the implementation of an information transfer method that minimizes processing load and ensures low-latency communication. This paper proposes a lightweight transfer mechanism applicable to IoT DEP, specifically involving the application of IoTA, which is a lightweight communication method. Further, it demonstrates a method to implement IoTA at the data link layer using raw socket communication to achieve low-latency transfer. Furthermore, performance evaluation was performed using a prototype to verify the effectiveness of the proposed method.
Keywords
- Internet of Things (IoT) Platform
- IoT Service
- Raw Socket Communication
- Low Latency Transfer
- International Standardization
How to Cite
Haruto Toyama, Atsuko Yokotani, Takaharu Suzuki, and Tetsuya Yokotani, "Lightweight Transfer Mechanisms and Their Performance Evaluation in IoT DEP," International Journal of Future Computer and Communication, vol. 15, no. 2, pp. 63-68, 2026. https://doi.org/ 10.18178/ijfcc.2026.15.2.634
Copyright & License
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).




