TRAFFIC PREDICTION AND FAST UPLINK FOR HIDDEN MARKOV IOT MODELS

TRAFFIC PREDICTION AND FAST UPLINK FOR HIDDEN MARKOV IOT MODELS

Registration ID: IJNRD_205184

Published ID: IJNRD2309118

DOI: Click Here to Get

Charly S , Sathyabalaji N

Hidden Markov models, Active learning, wearable computing, machine learning, activity recognition, memory retention, cognitive factors, server monitoring. Time-division multiple access, Random-access, fast uplink, Age of Information

In this work, I present a novel traffic predictionand fast uplink (FU) framework for IoT networks controlledby binary Markovian events. First, I apply the forward algorithm with hidden Markov models (HMMs) in order to schedulethe available resources to the devices with maximum likelihood activation probabilities via the FU grant. In addition, I evaluate the regret metric as the number of wasted transmission slots to evaluate the performance of the prediction. Next,we formulate a fairness optimization problem to minimize the Age of Information (AoI) while keeping the regret as minimumas possible. Finally, I propose an iterative algorithm to estimate the model hyperparameters (activation probabilities) inareal-time application and apply an online-learning version of the proposed traffic prediction scheme. Simulation results show that the proposed algorithms out perform baseline models, suchas time-division multiple access (TDMA) and grant-free (GF) random-access in terms of regret, the efficiency of system usage, and AoI.

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" TRAFFIC PREDICTION AND FAST UPLINK FOR HIDDEN MARKOV IOT MODELS", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 9, page no.b162-b173, September-2023, Available :https://ijnrd.org/papers/IJNRD2309118.pdf

Volume 8 Issue 9, September-2023

Pages : b162-b173

Paper Reg. ID: IJNRD_205184

Published Paper Id: IJNRD2309118

Downloads: 000121127

Research Area: Computer Engineering 

Country: Erode, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309118.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309118

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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