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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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An NB-IoT-Based Edge-of-Things Framework for Energy-Efficient Image Transfer.

Sikandar Zulqarnain Khan¹, Yannick Le Moullec¹, Muhammad Mahtab Alam¹

¹Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology, 19086 Tallinn, Estonia.

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Summary

This summary is machine-generated.

Machine learning optimizes visual data transmission in NB-IoT networks. This smart gateway reduces data size and quality, significantly cutting transmissions, energy use, and time.

Keywords:

NB-IoT cloud NB-IoT development platform NB-IoT network NB-IoT-based edge-of-things image transmission

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Area of Science:

Computer Science
Electrical Engineering
Telecommunications

Background:

Internet of Things (IoT) networks face challenges with energy efficiency and data transmission.
Narrowband Internet of Things (NB-IoT) networks require optimization for visual data handling.
Machine learning (ML) offers potential solutions for reducing data redundancy and improving transmission efficiency.

Purpose of the Study:

To develop a smart gateway integrating ML algorithms for energy-efficient visual data transmission over NB-IoT.
To optimize visual data size and quality using supervised and unsupervised ML before transmission.
To reduce channel occupancy, energy consumption, and data transmission time in NB-IoT networks.

Main Methods:

Integration of a low-power processing unit with an NB-IoT radio to create a smart gateway.
Implementation of supervised and unsupervised ML algorithms for visual data optimization.
On-field testing and performance evaluation of the smart gateway.

Main Results:

Achieved up to 93% reduction in NB-IoT radio transmissions.
Demonstrated up to 90.5% reduction in NB-IoT radio energy consumption.
Reduced data transmission time by up to 90%.

Conclusions:

The proposed smart gateway effectively utilizes ML for energy-efficient visual data transmission over NB-IoT.
ML-driven data optimization significantly enhances the performance of NB-IoT networks.
The solution offers substantial improvements in transmission reduction, energy savings, and time efficiency.