IoT convergence with machine learning & blockchain: A review

E Fazel, MZ Nezhad, J Rezazadeh, M Moradi… - Internet of Things, 2024 - Elsevier
Introduces the merging of the Internet of Things with cutting-edge technology, including
blockchain concepts, machine learning algorithms, and AI-based wireless connectivity …

Blockchain-based secure delivery of medical supplies using drones

MA Cheema, RI Ansari, N Ashraf, SA Hassan… - Computer Networks, 2022 - Elsevier
The advantages provided by the drones with regards to three dimensional mobility and ease
of deployment makes them a viable candidate for 5G and beyond (B5G) networks …

Energy-efficient beyond 5G multiple access technique with simultaneous wireless information and power transfer for the factory of the future

Z Albataineh, A Andrawes, NF Abdullah, R Nordin - Energies, 2022 - mdpi.com
In the Industrial Internet of Things (IIoT), non-orthogonal multiple access (NOMA) has
emerged as a viable multiple access method due to its superior efficiency. In this paper, a …

[HTML][HTML] FIWARE based low-cost wireless acoustic sensor network for monitoring and classification of urban soundscape

P Arce, D Salvo, G Piñero, A Gonzalez - Computer Networks, 2021 - Elsevier
This work presents a wireless acoustic sensor network (WASN) that monitors urban
environments by recognizing a given set of sound events or classes. The nodes of the …

Intrusion Detection Using CTGAN and Lightweight Neural Network for Internet of Things

S Das, A Majumder, S Namasudra, A Singh - Expert Systems, 2024 - Wiley Online Library
Deep learning‐based intrusion detection systems have high accuracy and low false alarm
rates. However, there are challenges to deploy deep learning models in the vulnerable …

Throughput optimization for SGF-NOMA via distributed DRL with prioritized experience replay

M Fayaz, W Yi, Y Liu… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
In this paper, we propose a novel distributed resource allocation mechanism for semi-grant-
free non-orthogonal multiple access (SGF-NOMA) transmission to maximize the network …

An Investigation of the Optimum Power Allocation Technique in the MIMO-NOMA Network with the Deep Neural Network and Depth Limited Search Algorithm

M., Ravi, Y Bulo - IETE Journal of Research, 2024 - Taylor & Francis
The non-orthogonal multiple-access (NOMA) technique affords massive user scaling,
industrial use for mission-critical communication, and multi-user shared in a single resource …

A comparative analysis of the various power allocation algorithm in NOMA-MIMO network using DNN and DLS algorithm

R Mancharla, Y Bulo - EAI Endorsed Transactions on Mobile …, 2022 - publications.eai.eu
The high data rate, huge spectrum efficiency, successive interference cancellation (SIC),
and ultra-reliable low latency (URLL) are of the demand for next-generation technologies …

Hyperbolic function based hybrid consistent adaptive sequential DL algorithms for PIR sensor based intruder detection

P De, A Chatterjee, A Rakshit - Journal of Instrumentation, 2023 - iopscience.iop.org
This study demonstrates that a novel dictionary learning (DL) algorithm-based approach can
be successfully used in conjunction with an indigenously developed hardware module …

Comparative Study on the NOMA Based Optimum Power Allocation Using DLS Algorithm with DNN

M Ravi, Y Bulo - … Technology and Computing: Proceedings of AICTC …, 2022 - Springer
High throughput, successive interference cancelation, higher cell edge spectrum efficiency,
and low latency are the main requirements for future generation technology. Non-orthogonal …