A survey and taxonomy on energy management schemes in wireless sensor networks

J Singh, R Kaur, D Singh - Journal of Systems Architecture, 2020 - Elsevier
Wireless sensor networks (WSNs) with energy harvesting have fascinated the prospectus
attention of researchers due to their wide deployment and omnipresent nature in the …

Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions

ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

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 …

Machine learning algorithms for wireless sensor networks: A survey

DP Kumar, T Amgoth, CSR Annavarapu - Information Fusion, 2019 - Elsevier
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …

More than privacy: Applying differential privacy in key areas of artificial intelligence

T Zhu, D Ye, W Wang, W Zhou… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Artificial Intelligence (AI) has attracted a great deal of attention in recent years. However,
alongside all its advancements, problems have also emerged, such as privacy violations …

CHHP: coverage optimization and hole healing protocol using sleep and wake-up concept for wireless sensor network

V Narayan, AK Daniel - … Journal of System Assurance Engineering and …, 2022 - Springer
The sensor network facilitates easy monitoring in hazardous environments like forests war
fields, etc. The wireless sensor network comprises several sensor nodes (SN) to observe …

Real-time fast charging station recommendation for electric vehicles in coupled power-transportation networks: A graph reinforcement learning method

P Xu, J Zhang, T Gao, S Chen, X Wang, H Jiang… - International Journal of …, 2022 - Elsevier
With the increasing penetration rate of electric vehicles, the fast charging demands of
electric vehicles will have a significant influence on the operation of coupled power …

Optimizing the network energy of cloud assisted internet of things by using the adaptive neural learning approach in wireless sensor networks

A Alarifi, A Tolba - Computers in Industry, 2019 - Elsevier
Cloud-assisted internet of things (CIoT) is backboned by the wireless sensor network (WSN)
architecture. A sensor network is an autonomous self-resource constraint collection of …

Joint optimization for pedestrian, information and energy flows in emergency response systems with energy harvesting and energy sharing

H Bi, WL Shang, Y Chen, K Wang - IEEE transactions on …, 2022 - ieeexplore.ieee.org
The rapid progress in informatisation and electrification in transportation has gradually
transferred public transport junctions such as metro stations into the nexus of pedestrian …

A low-latency communication scheme for mobile wireless sensor control systems

M Huang, A Liu, NN Xiong, T Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Millions of dedicated sensors are deployed in smart cities to enhance quality of urban living.
Communication technologies are critical for connecting these sensors and transmitting …