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20192023
most citedA Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks

17 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2023

Multi-armed Bandit Learning for TDMA Transmission Slot Scheduling and Defragmentation for Improved Bandwidth Usage

Hrishikesh Dutta, Amit Kumar Bhuyan, Subir Biswas

This paper proposes a Time Division Multiple Access (TDMA) MAC slot allocation protocol with efficient bandwidth usage in wireless sensor networks and Internet of Things (IoTs). Th…

cs.NI2023★ 1 cited

Reinforcement Learning for Protocol Synthesis in Resource-Constrained Wireless Sensor and IoT Networks

Hrishikesh Dutta, Amit Kumar Bhuyan, Subir Biswas

This article explores the concepts of online protocol synthesis using Reinforcement Learning (RL). The study is performed in the context of sensor and IoT networks with ultra low c…

cs.LG2021

Medium Access using Distributed Reinforcement Learning for IoTs with Low-Complexity Wireless Transceivers

Hrishikesh Dutta, Subir Biswas

This paper proposes a distributed Reinforcement Learning (RL) based framework that can be used for synthesizing MAC layer wireless protocols in IoT networks with low-complexity wir…

cs.LG2021

Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis

Hrishikesh Dutta, Subir Biswas

This paper proposes a multi-agent reinforcement learning based medium access framework for wireless networks. The access problem is formulated as a Markov Decision Process (MDP), a…

eess.SP2019★ 17 cited

A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks

Yan Shi, Dezhi Feng, Subir Biswas

This paper presents a deep-learning based traffic classification method for identifying multiple streaming video sources at the same time within an encrypted tunnel. The work defin…