Recent advancement of data-driven models in wireless sensor networks: a survey

G Sahar, KA Bakar, S Rahim, NAKK Khani, T Bibi - Technologies, 2021 - mdpi.com
Wireless sensor networks (WSNs) are considered producers of large amounts of rich data.
Four types of data-driven models that correspond with various applications are identified as …

Quality of service aware energy efficient multipath routing protocol for internet of things using hybrid optimization algorithm

M Srinivasulu, G Shivamurthy… - Multimedia Tools and …, 2023 - Springer
Abstract The Internet of Things (IoT) is evolving from a media term to a reality. We entered a
new age of invention and creativity as a result of the development of IoT. Despite the fact that …

To transmit or predict: An efficient industrial data transmission scheme with deep learning and cloud-edge collaboration

Y Wu, B Yang, D Zhu, Q Liu, C Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Many computation-intensive industrial applications need to be run in the cloud, which relies
on a lot of sharply varying data transmitted from the industrial field. To save the …

On predicting sensor readings with sequence modeling and reinforcement learning for energy-efficient iot applications

R Laidi, D Djenouri… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Prediction of sensor readings in event-based Internet-of-Things (IoT) applications is
considered. A new approach is proposed, which allows turning off sensors in periods when …

Automatic learning-based data optimization method for autonomous driving

Y Wang, J Zhang, Y Chen, H Yuan, C Wu - Digital Signal Processing, 2024 - Elsevier
One of the major reasons for the explosion of autonomous driving in recent years is the great
development of computer vision. As the number of model parameters increases, many large …

An efficient energy supply policy and optimized self-adaptive data aggregation with deep learning in heterogeneous wireless sensor network

R Tharmalingam, N Nachimuthu, G Prakash - Peer-to-Peer Networking …, 2024 - Springer
Heterogeneous wireless sensor networks (HWSNs) are energy-constrained networks. Data
aggregation can conserve the energy of HWSN. Clustering protocols and data processing …

A sensing-based patient classification framework for efficient patient-nurse scheduling

G Saad, H Harb, A Abouaissa, L Idoumghar… - … Informatics and Systems, 2023 - Elsevier
Nowadays, hospitals and government departments are struggling to reduce the health costs
and improve the service quality. Hospitals rely mainly on nurses who have many duties …

CE2RV: Commissioned energy‐efficient virtualization for large‐scale heterogeneous wireless sensor networks

MV Babu, R Sekaran, S Kannan… - International Journal of …, 2023 - Wiley Online Library
Summary The Internet of Things (IoT) comprises sensor networks, intelligent things, devices,
and humans for heterogeneous services and applications. Energy constraints in …

Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey

M Arif, JA Maya, N Anandan, DA Pérez, A Tonello… - IEEE …, 2024 - ieeexplore.ieee.org
Smart agriculture is an enabling technology addressing the increasing challenges of
efficiency, sustainability, and quality of food production. It requires rich data from the farming …

EDaTAD: Energy-Aware Data Transmission Approach with Decision-Making for Fog Computing-Based IoT Applications

AK Idrees, T Ali-Yahiya, SK Idrees… - Journal of Network and …, 2024 - Springer
In the fog computing-based Internet of Things (IoT) architecture, the sensor devices
represent the basic elements needed to sense the surrounding environment. They gather …