Abstract
In the split computing approach, channel coding can be exploited to transmit the intermediate data, balancing the tradeoff between accuracy and traffic overhead. In this paper, we propose a traffic-efficient split computing mechanism (TESC) in which the IoT device decides whether to exploit channel coding and its error correction capability according to the channel condition to transmit the intermediate data to the edge cloud. Evaluation results show that TESC can reduce the traffic overhead by over 80% while maintaining the accuracy of the model at a high level compared to the retransmission-based scheme.
Original language | English |
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Title of host publication | ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence |
Subtitle of host publication | Exploring the Frontiers of ICT Innovation |
Publisher | IEEE Computer Society |
Pages | 495-496 |
Number of pages | 2 |
ISBN (Electronic) | 9798350313277 |
DOIs | |
Publication status | Published - 2023 |
Event | 14th International Conference on Information and Communication Technology Convergence, ICTC 2023 - Jeju Island, Korea, Republic of Duration: 2023 Oct 11 → 2023 Oct 13 |
Publication series
Name | International Conference on ICT Convergence |
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ISSN (Print) | 2162-1233 |
ISSN (Electronic) | 2162-1241 |
Conference
Conference | 14th International Conference on Information and Communication Technology Convergence, ICTC 2023 |
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Country/Territory | Korea, Republic of |
City | Jeju Island |
Period | 23/10/11 → 23/10/13 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Internet of Things
- Split ML
- Split computing
- distributed computing
- inference
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications