Edge computing in industrial internet of things: Architecture, advances and challenges
The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of
Things (IoT). IIoT links all types of industrial equipment through the network; establishes data …
Things (IoT). IIoT links all types of industrial equipment through the network; establishes data …
Indoor intelligent fingerprint-based localization: Principles, approaches and challenges
With the rapid development of Internet of Things (IoT) technology, location-based services
have been widely applied in the construction of smart cities. Satellite-based location …
have been widely applied in the construction of smart cities. Satellite-based location …
A survey and future directions on clustering: From WSNs to IoT and modern networking paradigms
Many Internet of Things (IoT) networks are created as an overlay over traditional ad-hoc
networks such as Zigbee. Moreover, IoT networks can resemble ad-hoc networks over …
networks such as Zigbee. Moreover, IoT networks can resemble ad-hoc networks over …
Optimized multimedia data through computationally intelligent algorithms
In the field of data exchange, the security of information is the critical aspect. This void in the
security helped the evolution of steganography to address the problem of security …
security helped the evolution of steganography to address the problem of security …
Wildfire monitoring based on energy efficient clustering approach for FANETS
Forest fires are a significant threat to the ecological system's stability. Several attempts have
been made to detect forest fires using a variety of approaches, including optical fire sensors …
been made to detect forest fires using a variety of approaches, including optical fire sensors …
A survey of using swarm intelligence algorithms in IoT
With the continuing advancements in technologies (such as machine to machine, wireless
telecommunications, artificial intelligence, and big data analysis), the Internet of Things (IoT) …
telecommunications, artificial intelligence, and big data analysis), the Internet of Things (IoT) …
A real-time collision prediction mechanism with deep learning for intelligent transportation system
Rear-end collision prediction has gained an increasing attention for safety improvement in
smart cities. It is urgent to design efficient warning strategies for rear-end collisions which is …
smart cities. It is urgent to design efficient warning strategies for rear-end collisions which is …
A secure and efficient data sharing scheme based on blockchain in industrial Internet of Things
Blockchain possesses potential for enabling secure data sharing of industrial big data
generated by the Industrial Internet of Things (IIoT). However, the existing data-sharing …
generated by the Industrial Internet of Things (IIoT). However, the existing data-sharing …
Heuristic optimization of multipulse rectifier for reduced energy consumption
M Woźniak, A Sikora, A Zielonka, K Kaur… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Intelligent Manufacturing 5.0 of multipulse rectifier systems requires them to be optimized for
a variety of use in transportation and factories producing hearty touch technology. The …
a variety of use in transportation and factories producing hearty touch technology. The …
Multi-relay assisted computation offloading for multi-access edge computing systems with energy harvesting
In multi-access edge computing systems with energy harvesting (MEC-EH), the mobile
devices are empowered with unstable energy harvested from renewable energy sources. To …
devices are empowered with unstable energy harvested from renewable energy sources. To …