Traffic-Efficient Split Computing Mechanism for Internet of Things

Hojin Yeom, Haneul Ko, Sangheon Pack

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationICTC 2023 - 14th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationExploring the Frontiers of ICT Innovation
PublisherIEEE Computer Society
Pages495-496
Number of pages2
ISBN (Electronic)9798350313277
DOIs
Publication statusPublished - 2023
Event14th International Conference on Information and Communication Technology Convergence, ICTC 2023 - Jeju Island, Korea, Republic of
Duration: 2023 Oct 112023 Oct 13

Publication series

NameInternational Conference on ICT Convergence
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference14th International Conference on Information and Communication Technology Convergence, ICTC 2023
Country/TerritoryKorea, Republic of
CityJeju Island
Period23/10/1123/10/13

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

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