Low-Latency Network Architecture for Tactile Internet

Bandwidth guaranteed Module Deployment Algorithm (BMDA), Traffic Flow Algorithm (TFA), and MvRAN decomposition algorithm constitute crucial components and elucidation for the emerging Tactile Internet (TI) applications. However, their effective implementation requires a thorough design adapted to user demands and available network resources. In this paper, we have discussed some of the trailblazing modeling approaches, the relentless analytical framework of MEC–vRAN integrated design problem (MvRAN), and the framework for fog-based traffic flow using Software-Defined Networking (SDN) and Fog Computing (FC). These approaches efficiently handle complex and important network traffic and help to reduce unnecessary processing and queueing time at all levels of the cloud. We’ve also discussed how to leverage edge computing algorithms like BMDA to maximize user satisfaction while working within the limitations of constrained communication bandwidth and device storage.

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Publication Details

Published
2025-03-06
DOI
https://doi.org/10.1109/iatmsi64286.2025.10985208
Primary Topic
Caching and Content Delivery
Type
article
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article

Low-Latency Network Architecture for Tactile Internet

Md. Iftekhar Hussain, Dharmendu Sekhar Rout
Caching and Content Delivery
article

Low-Latency Network Architecture for Tactile Internet

Md. Iftekhar Hussain, Dharmendu Sekhar Rout
article en

Abstract

Bandwidth guaranteed Module Deployment Algorithm (BMDA), Traffic Flow Algorithm (TFA), and MvRAN decomposition algorithm constitute crucial components and elucidation for the emerging Tactile Internet (TI) applications. However, their effective implementation requires a thorough design adapted to user demands and available network resources. In this paper, we have discussed some of the trailblazing modeling approaches, the relentless analytical framework of MEC–vRAN integrated design problem (MvRAN), and the framework for fog-based traffic flow using Software-Defined Networking (SDN) and Fog Computing (FC). These approaches efficiently handle complex and important network traffic and help to reduce unnecessary processing and queueing time at all levels of the cloud. We’ve also discussed how to leverage edge computing algorithms like BMDA to maximize user satisfaction while working within the limitations of constrained communication bandwidth and device storage.

North Eastern Hill University (IN)
Affordable and clean energy
Openalex Percentile: Top 90%
Caching and Content Delivery
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