AI-based Routing Path Reliability Assessment Scheme for Performance Enhancement of Real-time Service in Tactical Ad-hoc Networks 


Vol. 51,  No. 1, pp. 80-92, Jan.  2026
10.7840/kics.2026.51.1.80


PDF Full-Text
  Abstract

With the advancement of information and communication technology, it has become important in modern warfare to connect weapon systems into a single network and shorten the time required for surveillance, reconnaissance, decision-making, and precision strike processes. However, when configuring a Tactical Ad-hoc Network in a battlefield where it is difficult to receive support from a backbone network, there is a problem in that it is difficult to provide end-to-end real-time tactical services such as voice or video with stable performance due to changes in frequency characteristics and topology. Researches are being conducted to reflect various elements required for networking into protocol operations by utilizing AI and ML technologies, but no networking technology has been proposed that considers the quality of real-time services in a tactical ad-hoc environment. In this paper, we propose an AI-based real-time traffic transmission path reliability assessment technology applicable to tactical ad-hoc terminals. In this paper, it is demonstrated through experimental results that performance of real-time service is improved when the reliability assessment of traffic transmission paths based on an AI model is applied and the routing paths are proactively switched.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Related Articles
  Cite this article

[IEEE Style]

C. Lee, D. Lee, J. Choi, S. B. Park, M. Lee, J. Jang, D. Kim, S. Lee, "AI-based Routing Path Reliability Assessment Scheme for Performance Enhancement of Real-time Service in Tactical Ad-hoc Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 1, pp. 80-92, 2026. DOI: 10.7840/kics.2026.51.1.80.

[ACM Style]

Cheol-woong Lee, Dongkeun Lee, Jungwook Choi, Soo Beom Park, Min Lee, Jae-Won Jang, Dae-Young Kim, and Sung-Hyung Lee. 2026. AI-based Routing Path Reliability Assessment Scheme for Performance Enhancement of Real-time Service in Tactical Ad-hoc Networks. The Journal of Korean Institute of Communications and Information Sciences, 51, 1, (2026), 80-92. DOI: 10.7840/kics.2026.51.1.80.

[KICS Style]

Cheol-woong Lee, Dongkeun Lee, Jungwook Choi, Soo Beom Park, Min Lee, Jae-Won Jang, Dae-Young Kim, Sung-Hyung Lee, "AI-based Routing Path Reliability Assessment Scheme for Performance Enhancement of Real-time Service in Tactical Ad-hoc Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 1, pp. 80-92, 1. 2026. (https://doi.org/10.7840/kics.2026.51.1.80)
Vol. 51, No. 1 Index

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880