World's Best Scientists 2026 revealed!

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Computer Science

D-Index
48
Citations
8209
World Ranking
6230
National Ranking
48

Overview

Dongkyun Kim is affiliated with Kyungpook National University in South Korea. Their research primarily spans across fields such as Engineering and Computer Science with a focus on Electrical and Electronic Engineering and Computer Networks and Communications. Additional subfields include Aerospace Engineering, Computer Vision and Pattern Recognition, and Media Technology.

Their work addresses several main topics, notably Vehicular Ad Hoc Networks (VANETs), Advanced MIMO Systems Optimization, IoT and Edge/Fog Computing, Caching and Content Delivery, IoT Networks and Protocols, Opportunistic and Delay-Tolerant Networks, and Energy Efficient Wireless Sensor Networks.

Kim's recent publications include:

  • "Advancements in Vehicular Communication Technologies: C-V2X and NR-V2X Comparison", 2021, IEEE Communications Magazine
  • "Software-defined vehicular network (SDVN): A survey on architecture and routing", 2020, Journal of Systems Architecture
  • "Enabling technologies for AI empowered 6G massive radio access networks", 2022, ICT Express
  • "Aspects of unmanned aerial vehicles path planning: Overview and applications", 2021, International Journal of Communication Systems
  • "Enhancements and Challenges in CoAP-A Survey", 2020, Sensors

The frequent co-authors collaborating with Kim include Malik Muhammad Saad, Muhammad Toaha Raza Khan, Muhammad Ashar Tariq, Junho Seo, and Mahnoor Ajmal.

Publication venues where Kim has commonly contributed are ICT Express, IEEE Internet of Things Journal, Electronics, Sensors, and Vehicular Communications.

Best Publications

  • Routing mechanisms for mobile ad hoc networks based on the energy drain rate

    Dongkyun Kim;J.J. Garcia-Luna-Aceves;K. Obraczka;J.-C. Cano

  • TCP-BuS: Improving TCP performance in wireless Ad Hoc networks

    Dongkyun Kim;C.-K. Toh;Yanghee Choi

  • An Energy Efficient Localization-Free Routing Protocol for Underwater Wireless Sensor Networks

    Abdul Wahid;Dongkyun Kim

  • CODIE: Controlled Data and Interest Evaluation in Vehicular Named Data Networks

    Syed Hassan Ahmed;Safdar Hussain Bouk;Muhammad Azfar Yaqub;Dongkyun Kim

  • Power-aware routing based on the energy drain rate for mobile ad hoc networks

    Dongkyun Kim;J.J. Garcia-Luna-Aceves;K. Obraczka;J.C. Cano

  • EEDBR: Energy-Efficient Depth-Based Routing Protocol for Underwater Wireless Sensor Networks

    Abdul Wahid;Sungwon Lee;Hong-Jong Jeong;Dongkyun Kim

  • DFR: Directional flooding-based routing protocol for underwater sensor networks

    Daeyoup Hwang;Dongkyun Kim

  • Dynamic Duty-Cycle Scheduling Schemes for Energy-Harvesting Wireless Sensor Networks

    Hongseok Yoo;Moonjoo Shim;Dongkyun Kim

  • RUFS: RobUst Forwarder Selection in Vehicular Content-Centric Networks

    Syed Hassan Ahmed;Safdar Hussain Bouk;Dongkyun Kim

  • Named-Data-Networking-Based ITS for Smart Cities

    Safdar Hussain Bouk;Syed Hassan Ahmed;Dongkyun Kim;Houbing Song

  • A reliable and energy-efficient routing protocol for underwater wireless sensor networks

    Abdul Wahid;Sungwon Lee;Dongkyun Kim

  • Cyber Physical System: Architecture, applications and research challenges

    Syed Hassan Ahmed;Gwanghyeon Kim;Dongkyun Kim

  • Hybrid gateway advertisement scheme for connecting mobile ad hoc networks to the Internet

    Jeongkeun Lee;Dongkyun Kim;J.J. Garcia-Luna-Aceves;Yanghee Choi

  • Advancements in Vehicular Communication Technologies: C-V2X and NR-V2X Comparison

    Malik Muhammad Saad;Muhammad Toaha Raza Khan;Syed Hassan Ahmed Shah;Dongkyun Kim

  • DFR: an efficient directional flooding-based routing protocol in underwater sensor networks

    Dongseung Shin;Daeyoup Hwang;Dongkyun Kim

  • An energy-efficient routing protocol for UWSNs using physical distance and residual energy

    Abdul Wahid;Sungwon Lee;Dongkyun Kim

  • Modelling Microcystis aeruginosa bloom dynamics in the Nakdong River by means of evolutionary computation and statistical approach

    Kwang-Seuk Jeong;Dong-Kyun Kim;Peter Whigham;Gea-Jae Joo

  • Predicting Traffic lights to Improve Urban Traffic Fuel Consumption

    Miguel Sanchez;Juan-carlos Cano;Dongkyun Kim

  • Named Data Networking for Software Defined Vehicular Networks

    Syed Hassan Ahmed;Safdar Hussain Bouk;Dongkyun Kim;Danda B. Rawat

  • Enabling technologies for AI empowered 6G massive radio access networks

    Unknown

  • K-hop cluster-based dynamic source routing in wireless ad-hoc packet radio network

    Dongkyun Kim;Seokjae Ha;Yanghee Choi

  • River phytoplankton prediction model by Artificial Neural Network: Model performance and selection of input variables to predict time-series phytoplankton proliferations in a regulated river system

    Kwang-Seuk Jeong;Dong-Kyun Kim;Gea-Jae Joo

Frequent Co-Authors

Syed Hassan Ahmed
Syed Hassan Ahmed Georgia Southern University
Juan-Carlos Cano
Juan-Carlos Cano Universitat Politècnica de València
Yanghee Choi
Yanghee Choi Seoul National University
Pietro Manzoni
Pietro Manzoni Universitat Politècnica de València
J.J. Garcia-Luna-Aceves
J.J. Garcia-Luna-Aceves University of California, Santa Cruz
Houbing Song
Houbing Song University of Maryland, Baltimore County
Nadeem Javaid
Nadeem Javaid National Yunlin University of Science and Technology
Katia Obraczka
Katia Obraczka University of California, Santa Cruz
Floriano De Rango
Floriano De Rango University of Calabria
Jeongkeun Lee
Jeongkeun Lee Intel (United States)

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