Energy harvesting techniques for internet of things (IoT)

T Sanislav, GD Mois, S Zeadally, SC Folea - IEEE Access, 2021 - ieeexplore.ieee.org
The rapid growth of the Internet of Things (IoT) has accelerated strong interests in the
development of low-power wireless sensors. Today, wireless sensors are integrated within …

Current trends on green wireless sensor networks

JC Lopez-Ardao, RF Rodriguez-Rubio… - Sensors, 2021 - mdpi.com
The issue of energy balancing in Wireless Sensor Networks is a pivotal one, crucial in their
deployment. This problem can be subdivided in three areas:(i) energy conservation …

Artificial intelligence techniques for cognitive sensing in future IoT: State-of-the-Art, potentials, and challenges

MO Osifeko, GP Hancke, AM Abu-Mahfouz - Journal of Sensor and …, 2020 - mdpi.com
Smart, secure and energy-efficient data collection (DC) processes are key to the realization
of the full potentials of future Internet of Things (FIoT)-based systems. Currently, challenges …

An LSTM-based distributed scheme for data transmission reduction of IoT systems

A Fathalla, K Li, A Salah, MF Mohamed - Neurocomputing, 2022 - Elsevier
The growth of the number of connected devices in Internet of Things (IoT) systems causes a
huge increase in network traffic. Thus, there is a significant demand for systems that can …

Special issue on artificial intelligence and machine learning for networking and communications

P Chemouil, P Hui, W Kellerer, Y Li… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Research in large-scale networking systems has been shaped and will continue to be
guided by specific characteristics of applications and the underlying platforms and …

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 …

Edge-based federated deep reinforcement learning for IoT traffic management

A Jarwan, M Ibnkahla - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The wide adoption of large-scale Internet of Things (IoT) systems has led to an
unprecedented increase in backhaul (BH) traffic congestion, making it critical to optimize …

A reliable and energy efficient dual prediction data reduction approach for WSNs based on Kalman filter

H Wang, Z Yemeni, WM Ismael, A Hawbani… - IET …, 2021 - Wiley Online Library
Wireless sensor networks (WSNs) are critically resource‐constrained due to wireless sensor
nodes' tiny memory, low processing units, power limitations, and narrow communication …

A distributed prediction–compression-based mechanism for energy saving in IoT networks

AM Hussein, AK Idrees, R Couturier - The Journal of Supercomputing, 2023 - Springer
Nowadays, the number of Internet of things (IoT) devices has rapidly increased due to their
increasing use in different real-world applications. The sensor devices represent the basic …

Data transmission reduction formalization for cloud offloading-based IoT systems

A Elouali, H Mora Mora, FJ Mora-Gimeno - Journal of Cloud Computing, 2023 - Springer
Computation offloading is the solution for IoT devices of limited resources and high-cost
processing requirements. However, the network related issues such as latency and …