The growing trend in the use of blockchain-based cryptocurrencies in modern communities
provides several advantages, but also imposes several challenges to energy markets and …

The emergence of edge computing (EC) and intelligent vision-based driver assistance
system is of great significance for the prospective development of Internet of Vehicle (IoV) …

Local energy trading has attracted the attention of many researchers as a result of its
promising benefits. These benefits include minimizing gas emission, reducing power …

Modern vehicles rely on data from a vast array of sensors such as radar and GPS equipment
that can be shared with surrounding vehicles and other interested parties. Vehicle-to …

Lecturers, as the guidance of the classroom, play a significant role in the teaching process.
However, the lecturers' sense of space immersion has been ignored in current virtual …

With increasing focus on Artificial Intelligence (AI) applications, Deep Neural Networks
(DNNs) have been successfully used in a number of application areas. As the number of …

Large-scale power systems are composed of regional utilities with assets that stream sensor
readings in real time. In order to detect cyberattacks, the globally acquired, real-time sensor …

Cellular vehicle-to-everything (V2X) communication is expected to herald the age of
autonomous vehicles in the coming years. With the integration of blockchain in such …

In this paper, a secure energy trading mechanism based on blockchain technology is
proposed. The proposed model deals with energy trading problems such as insecure …

With the rapid development of wireless sensor networks (WSNs) and the Internet of Things
(IoT), increasing computing tasks are sinking to mobile edge networks, such as distributed …