Integration of blockchain technology and federated learning in vehicular (iot) networks: A comprehensive survey

AR Javed, MA Hassan, F Shahzad, W Ahmed, S Singh… - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …

ELITE: An intelligent digital twin-based hierarchical routing scheme for softwarized vehicular networks

L Zhao, Z Bi, A Hawbani, K Yu, Y Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Software-Defined Vehicular Network (SDVN) is a networking architecture that can provide
centralized control for vehicular networks. However, the design for routing policies in SDVNs …

DAG block: Trust aware load balanced routing and lightweight authentication encryption in WSN

M Revanesh, JM Acken, V Sridhar - Future Generation Computer Systems, 2023 - Elsevier
A wireless sensor network (WSN) is a staple network architecture that can be widely used to
support diverse of applications as smart cities, smart homes, etc. However, energy …

CEDAR: A cluster-based energy-aware data aggregation routing protocol in the internet of things using capuchin search algorithm and fuzzy logic

M Mohseni, F Amirghafouri, B Pourghebleh - Peer-to-Peer Networking and …, 2023 - Springer
Over the last decade, the Internet of Things (IoT) has received much interest from the
research and industrial communities due to its fundamental role in altering the human …

A blockchain based federated learning for message dissemination in vehicular networks

F Ayaz, Z Sheng, D Tian… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Message exchange among vehicles plays an important role in ensuring road safety.
Emergency message dissemination is usually carried out by broadcasting. However, high …

An intelligent fuzzy-based routing scheme for software-defined vehicular networks

L Zhao, Z Bi, M Lin, A Hawbani, J Shi, Y Guan - Computer Networks, 2021 - Elsevier
Due to the lack of fully considering dynamic traffic information, in Vehicular Ad-hoc Networks
(VANETs), existing routing schemes are easily stuck in local optimum, path redundancy, and …

A novel deep Q-learning-based air-assisted vehicular caching scheme for safe autonomous driving

J Shi, L Zhao, X Wang, W Zhao… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The safety driving-related content demands of vehicle users increase rapidly, especially with
the development of autonomous driving. It is significantly necessary to obtain the safety …

Hierarchical Q-learning-enabled neutrosophic AHP scheme in candidate relay set size adaption in vehicular networks

M Naderi, J Chakareski, M Ghanbari - Computer Networks, 2023 - Elsevier
Cooperative candidate relay sets (CRS) in opportunistic broadcast paradigms can
significantly improve the performance efficiency of traditional broadcast schemes by …

Advanced greedy hybrid bio-inspired routing protocol to improve IoV

R Attia, A Hassaan, R Rizk - IEEE Access, 2021 - ieeexplore.ieee.org
New vehicles are now expected to be involved in the rapid development of Intelligent
Transport Systems (ITS). Vehicular Ad hoc NETwork (VANET) is the basic equipment used …

FuzzyAct: A fuzzy-based framework for temporal activity recognition in IoT applications using RNN and 3D-DWT

FA Dharejo, M Zawish, Y Zhou, S Davy… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
Despite massive research in deep learning, the human activity recognition (HAR) domain
still suffers from key challenges in terms of accurate classification and detection. The core …