Modeling of AoI Minimization for (m,k)-Firm Streams in 5G Networks. - Beom-Su Kim; Byung Hyun Lim; Beomkyu Suh; Ki-Il Kim; Sangtae Ha (MASCOTS, 2023)

An Enhanced Tree Routing Based on Reinforcement Learning in Wireless Sensor Networks. - Beom-Su Kim; Beomkyu Suh; In Jin Seo; Han Byul Lee; Ji Seon Gong; Ki-Il Kim (Sensors, 2023)

Enabling Grant-Free URLLC for AoI Minimization in RAN-Coordinated 5G Health Monitoring System. - Beom-Su Kim; Byung Hyun Lim; Beomkyu Suh; Sangtae Ha; Ting He 001; Babar Shah; Ki-Il Kim (IEEE Internet Things J., 2023)

An Energy-Efficient Routing Protocol with Reinforcement Learning in Software-Defined Wireless Sensor Networks. - Daniel Godfrey; Beomkyu Suh; Byung Hyun Lim; Kyu-Chul Lee; Ki-Il Kim (Sensors, 2023)

Fuzzy Logic Based Broadcasting Scheme for Mobile Ad Hoc Network. - Ismatov Akobir; Beomkyu Suh; Ki-Il Kim (ITNAC, 2024)

Dynamic Adjustment of Control Message Delay in Reactive Ad Hoc Routing Protocol. - Haoran Miao; Beomkyu Suh; Ki-Il Kim (WTS, 2024)

IoT-Enhanced Transport and Monitoring of Medicine Using Sensors, MQTT, and Secure Short Message Service. - David Samuel Bhatti; Muhammad Mueed Hussain; Beomkyu Suh; Zulfiqar Ali 002; Ismatov Akobir; Ki-Il Kim (IEEE Access, 2024)

Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks. - David Samuel Bhatti; Shahzad Saleem; Zulfiqar Ali 002; Tae-Jin Park; Beomkyu Suh; Ali Kamran; William J. Buchanan; Ki-Il Kim (IEEE Access, 2024)

A New Broadcasting Scheme Based on Reinforcement Learning-Driven Adaptive Fuzzy Logic in Mobile Ad Hoc Networks. - Ismatov Akobir; Beomkyu Suh; Ki-Il Kim (AINA (1), 2025)