Data redundancy reduction for energy-efficiency in wireless sensor networks: A comprehensive review

G Sahar, KBA Bakar, FT Zuhra, S Rahim, T Bibi… - IEEE …, 2021 - ieeexplore.ieee.org
Wireless Sensor Networks (WSNs) play a significant role in providing an extraordinary
infrastructure for monitoring environmental variations such as climate change, volcanoes …

[HTML][HTML] An enhanced energy efficient protocol for large-scale IoT-based heterogeneous WSNs

ASH Abdul-Qawy, NAM Alduais, AMHY Saad… - Scientific African, 2023 - Elsevier
There is increasing attention, recently, to optimizing energy consumption in IoT-based large-
scale networks. Extending the lifetime of battery-powered nodes is a key challenge in such …

An edge-fog computing-enabled lossless EEG data compression with epileptic seizure detection in IoMT networks

AK Idrees, SK Idrees, R Couturier… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The need to improve smart health systems to monitor the health situation of patients has
grown as a result of the spread of epidemic diseases, the ageing of the population, the …

Time series compression for iot: A systematic literature review

MA de Oliveira, AM da Rocha, FE Puntel… - Wireless …, 2023 - Wiley Online Library
Time series are widely used to record information in applications developed with Internet of
Things (IoT) devices, where sensors are used to collect large amounts of data. These …

New fog computing enabled lossless EEG data compression scheme in IoT networks

SK Idrees, AK Idrees - Journal of Ambient Intelligence and Humanized …, 2022 - Springer
The rapid evolution of the Internet of Things (IoT) leads to emerging several applications
such as smart home, ehealth, smart agriculture and farming, etc. The edge of the IoT …

Distributed energy‐efficient data reduction approach based on prediction and compression to reduce data transmission in IoT networks

AM Hussein, AK Idrees… - International journal of …, 2022 - Wiley Online Library
In the modern world, it will be necessary to deploy a large number of sensor devices to
sense everything around us in order to detect changes, risks, and hazards and to mitigate …

EERP‐DPM: energy efficient routing protocol using dual prediction model for healthcare using IoT

FA Almalki, S Ben Othman… - Journal of Healthcare …, 2021 - Wiley Online Library
Healthcare is one of the most promising domains for the application of Internet of Things‐
(IoT‐) based technologies, where patients can use wearable or implanted medical sensors …

Data transmission reduction techniques for improving network lifetime in wireless sensor networks: An up‐to‐date survey from 2017 to 2022

K Jain, A Kumar, A Singh - Transactions on Emerging …, 2023 - Wiley Online Library
Wireless sensor networks (WSNs) have now become a substantial part of our life as it
provides an incredible setup for monitoring environmental conditions such as glaciers …

Adaptive rate energy‐saving data collecting technique for health monitoring in wireless body sensor networks

A Shawqi Jaber… - International Journal of …, 2020 - Wiley Online Library
One of the best and cheapest solutions for continuous and remote monitoring and
evaluation of patient health is to use the WBSNs (wireless body sensor networks) due to its …

[HTML][HTML] Prediction-based data reduction with dynamic target node selection in IoT sensor networks

B Płaczek - Future Generation Computer Systems, 2024 - Elsevier
In various applications of IoT sensor networks, special attention is paid to sensor nodes that
register higher or lower values of a monitored parameter compared to other nodes. Thus …