activity
20222024
most citedA Survey on Offloading in Federated Cloud-Edge-Fog Systems with Traditional Optimization and Machine Learning

14 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2024

Optimization of End-to-End AoI in Edge-Enabled Vehicular Fog Systems: A Dueling-DQN Approach

Seifu Birhanu Tadele, Binayak Kar, Frezer Guteta Wakgra +1

In real-time status update services for the Internet of Things (IoT), the timely dissemination of information requiring timely updates is crucial to maintaining its relevance. Fail…

cs.NI2024★ 1 cited

Multi-Objective Offloading Optimization in MEC and Vehicular-Fog Systems: A Distributed-TD3 Approach

Frezer Guteta Wakgra, Binayak Kar, Seifu Birhanu Tadele +2

The emergence of 5G networks has enabled the deployment of a two-tier edge and vehicular-fog network. It comprises Multi-access Edge Computing (MEC) and Vehicular-Fogs (VFs), strat…

cs.NI2023★ 4 cited

Energy-Efficient Softwarized Networks: A Survey

Iwan Setiawan, Binayak Kar, Shan-Hsiang Shen

With the dynamic demands and stringent requirements of various applications, networks need to be high-performance, scalable, and adaptive to changes. Researchers and industries vie…

quant-ph2023

Routing Protocols for Quantum Networks: Overview and Challenges

Binayak Kar, Pankaj Kumar

Over the past 50 years, conventional network routing design has undergone substantial growth, evolving from small networks with static nodes to large systems connecting billions of…

cs.NI2022★ 14 cited

A Survey on Offloading in Federated Cloud-Edge-Fog Systems with Traditional Optimization and Machine Learning

Binayak Kar, Widhi Yahya, Ying-Dar Lin +1

The huge amount of data generated by the Internet of things (IoT) devices needs the computational power and storage capacity provided by cloud, edge, and fog computing paradigms. E…