State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques
Forecasting renewable energy efficiency significantly impacts system management and
operation because more precise forecasts mean reduced risk and improved stability and …
operation because more precise forecasts mean reduced risk and improved stability and …
Wireless sensor network security: A recent review based on state-of-the-art works
M Faris, MN Mahmud, MFM Salleh… - International Journal of …, 2023 - journals.sagepub.com
Wireless sensor networks (WSNs) are a major part of the telecommunications sector. WSN is
applied in many aspects, including surveillance battlefields, patient medical monitoring …
applied in many aspects, including surveillance battlefields, patient medical monitoring …
A hybrid cross layer with harris-hawk-optimization-based efficient routing for wireless sensor networks
Efficient clustering and routing is a main challenge in a wireless sensor network (WSN). To
achieve better quality-of-service (QoS) performance, this work introduces k-medoids with …
achieve better quality-of-service (QoS) performance, this work introduces k-medoids with …
An Enhanced Energy Optimization Model for Industrial Wireless Sensor Networks Using Machine Learning
Industrial Wireless Sensor Networks (WSNs) are becoming increasingly popular due to their
enhanced scalability and low cost of deployment. However, they also present new …
enhanced scalability and low cost of deployment. However, they also present new …
An intelligent healthcare system using IoT in wireless sensor network
The Internet of Things (IoT) uses wireless networks without infrastructure to install a huge
number of wireless sensors that track system, physical, and environmental factors. There are …
number of wireless sensors that track system, physical, and environmental factors. There are …
Machine learning for coverage optimization in wireless sensor networks: a comprehensive review
In the context of wireless sensor networks (WSNs), the utilization of artificial intelligence (AI)-
based solutions and systems is on the ascent. These technologies offer significant potential …
based solutions and systems is on the ascent. These technologies offer significant potential …
[HTML][HTML] Digital-care in next generation networks: Requirements and future directions
Digital healthcare applications are part of the Industry 4.0 which is based on smart devices
and trustworthy communications technology. The concept of Digital-care is based on …
and trustworthy communications technology. The concept of Digital-care is based on …
Detection of Denial-of-Service Attack in Wireless Sensor Networks: A lightweight Machine Learning Approach
MA Elsadig - IEEE Access, 2023 - ieeexplore.ieee.org
The characteristics and performance of wireless sensor networks (WSNs) are the main
reasons for their rapid expansion in various fields. However, these networks are extremely …
reasons for their rapid expansion in various fields. However, these networks are extremely …
Securing wireless sensor networks using machine learning and blockchain: A review
As an Internet of Things (IoT) technological key enabler, Wireless Sensor Networks (WSNs)
are prone to different kinds of cyberattacks. WSNs have unique characteristics, and have …
are prone to different kinds of cyberattacks. WSNs have unique characteristics, and have …
Adaptive trust-based framework for securing and reducing cost in low-cost 6LoWPAN wireless sensor networks
Wireless Sensor Networks (WSNs) are the core of the Internet of Things (IoT) technology, as
they will be used in various applications in the near future. The issue of security and power …
they will be used in various applications in the near future. The issue of security and power …