An intelligent traffic prediction framework for 5G network using SDN and fusion learning
KT Selvi, R Thamilselvan - Peer-to-Peer Networking and Applications, 2022 - Springer
Traffic prediction and analysis is an important part of traffic engineering in Software Defined
Networking (SDN). Effective forecasting of network traffic needs the composition of capturing …
Networking (SDN). Effective forecasting of network traffic needs the composition of capturing …
Match Maximization of Vehicle-to-Vehicle Energy Charging With Double-Sided Auction
A Yassine, MS Hossain - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
The future Intelligent Transportation System (ITS) will rely heavily on the advancement of the
Internet of Things (IoT). Indeed, the IoT infrastructure paves the way toward connecting …
Internet of Things (IoT). Indeed, the IoT infrastructure paves the way toward connecting …
Blockchain-empowered AI for 6G-enabled Internet of Vehicles
The 6G communication technologies are expected to provide fast data rates and incessant
connectivity to heterogeneous networks, such as the Internet of Vehicles (IoV). However, the …
connectivity to heterogeneous networks, such as the Internet of Vehicles (IoV). However, the …
Federated learning empowered mobility-aware proactive content offloading framework for fog radio access networks
Proactive content caching has emerged as a promising solution to cope with exponentially
increasing mobile data traffic. The popular user contents can be cached near the network …
increasing mobile data traffic. The popular user contents can be cached near the network …
A secure and privacy preserved infrastructure for VANETs based on federated learning with local differential privacy
Advancements in Vehicular ad-hoc Network (VANET) technology have led to a growing
network of interconnected devices, including edge devices, resulting in substantial data …
network of interconnected devices, including edge devices, resulting in substantial data …
Bibliometric analysis of the blockchain scientific evolution: 2014–2020
J Luo, Y Hu, Y Bai - IEEE Access, 2021 - ieeexplore.ieee.org
As one of the disruptive technologies in the fourth industrial revolution, Blockchain has
irrevocably changed how people live and work. Many scholars have studied the Blockchain …
irrevocably changed how people live and work. Many scholars have studied the Blockchain …
Multiple households energy consumption forecasting using consistent modeling with privacy preservation
Traditional data-driven energy consumption forecasting models, including machine learning
and deep learning methods, showed outstanding performance in terms of forecasting …
and deep learning methods, showed outstanding performance in terms of forecasting …
Location privacy-preserving scheme in iobt networks using deception-based techniques
The Internet of Battlefield Things (IoBT) refers to interconnected battlefield
equipment/sources for synchronized automated decision making. Due to difficulties unique …
equipment/sources for synchronized automated decision making. Due to difficulties unique …
Privacy-preserving taxi-demand prediction using federated learning
Taxi-demand prediction is an important application of machine learning that enables taxi-
providing facilities to optimize their operations and city planners to improve transportation …
providing facilities to optimize their operations and city planners to improve transportation …
Federated distillation and blockchain empowered secure knowledge sharing for Internet of medical Things
With the development of Internet of Things (IoT) and Artificial Intelligence (AI) technologies,
smart services have penetrated into every aspect of our daily lives, including the medical …
smart services have penetrated into every aspect of our daily lives, including the medical …