The Modified Approach to Internet of Things Data Transmission Based on a Combined Neural Network Autoencoder

L Globa, V Kurdecha, S Ushakov - International scientific and practical …, 2022 - Springer
With the appearance of the Internet of Things (IoT) systems, the problem of processing and
efficiently transmitting data has attracted increased attention due to the need to work in real …

Internet of Things Data Transfer Method Using Neural Network Autoencoder

E Siemens, V Kurdecha, S Ushakov - Information and …, 2023 - infotelesc.kpi.ua
Background. The number of devices in the Internet of Things is constantly increasing. At the
same time, the number of solutions on the market for such technologies is growing. Statistics …

Optimizing Data Transmission in IoT Networks through Enhanced Compression and Edge Computing Techniques

U Serhii, K Vasyl - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
As the Internet of Things (IoT) continues to evolve, ensuring efficient data compression and
transmission emerges as a pivotal challenge, especially considering the energy constraints …

An Unified Data Compression Framework in an IoT Network: Towards Performance Improvement

R Kumar, OJ Pandey, RM Hegde - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) has fundamentally changed the way we interact worldwide,
however, the sheer volume of data it generates is enormous. Effectively handling this …

An energy efficient IoT data compression approach for edge machine learning

J Azar, A Makhoul, M Barhamgi, R Couturier - Future Generation Computer …, 2019 - Elsevier
Many IoT systems generate a huge and varied amount of data that need to be processed
and responded to in a very short time. One of the major challenges is the high energy …

Comparison of edge computing methods for environmental monitoring iot sensors using neural networks and wavelet transforms

M Borova, P Svobodova, M Prauzek… - 2022 IEEE Symposium …, 2022 - ieeexplore.ieee.org
IoT sensor solutions have become ubiquitous in recent years. This rapid growth has resulted
in large amounts of real-time data being transmitted to a cloud. Cloud computing paradigms …

An Evaluation of Autoencoder Neural Network Role in Iot Edge Computing

AT Kakız, AGMT Kakız, R Coban - Osmaniye Korkut Ata Üniversitesi …, 2022 - dergipark.org.tr
With rapid increase in numbers of connected Internet of Things (IoT) devices, huge amount
of data is generated and sent to Cloud Computing nodes to be stored and analysed. Cloud …

Internet of things data compression based on successive data grouping

S Sawalha, G Al-Naymat - Turkish Journal of Electrical …, 2021 - journals.tubitak.gov.tr
Internet of things (IoT) is a useful technology in different aspects, and it is widely used in
many applications; however, this technology faces some major challenges which need to be …

The deep learning solutions on lossless compression methods for alleviating data load on IoT nodes in smart cities

A Nasif, ZA Othman, NS Sani - Sensors, 2021 - mdpi.com
Networking is crucial for smart city projects nowadays, as it offers an environment where
people and things are connected. This paper presents a chronology of factors on the …

Methodology of neural network compression for multi-sensor transducer network models based on edge computing principles

ІМ Лобачев, СГ Антощук, МА Годовиченко - Вісник сучасних …, 2021 - hait.od.ua
This paper focuses on the development of a methodology to compress neural networks that
is based on the mechanism of pruning the hidden layer neurons. The aforementioned neural …