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Jiseoup Lim

dblp:351/6057 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Wireless networking · 56% Vehicular, aerial and satellite networks · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › medium access control
collision avoidance
0.712023
Poster: Predictive Collision Avoidance Considering Trade-Off Between Distance and Signal Power · ICNP 2023
Vehicular, aerial and satellite networks
vehicular networks
0.712023
Poster: Predictive Collision Avoidance Considering Trade-Off Between Distance and Signal Power · ICNP 2023
Wireless networking
wireless network protocols
0.212023
Poster: Predictive Collision Avoidance Considering Trade-Off Between Distance and Signal Power · ICNP 2023

Methods — techniques the papers use, named apart from their topics

statistical analysis · 0.7simulation · 0.7
YearPublicationVenuePosition
2023 Poster: Predictive Collision Avoidance Considering Trade-Off Between Distance and Signal Power
abstract
This paper focuses on the challenges of vehicle collisions in wireless network-based vehicle driving systems. The identified issues include: 1) data imbalance and control signal loss/delay due to communication, and 2) scheduling failures. In this study, we propose an relatively critical approach upon signal power and controllability to address these problems. Our method includes statistical observations related to communication bottlenecks and analyzes the relationship between communication performance and collision risk. We also refine the existing theo-retical framework for collision prediction to ensure compatibility with current protocols. To evaluate our proposed approach, we set up an environment with two vehicles operating at a fixed distance from each other and analyzed the correlation between communication strength and real-time deadline criticality in relation to collision risk.
Jiseoup Lim, Haegeon Jeong, Kyungtae Kang
ICNP1