Edge and fog computing for IoT: A survey on current research activities & future directions

M Laroui, B Nour, H Moungla, MA Cherif, H Afifi… - Computer …, 2021 - Elsevier
Abstract The Internet of Things (IoT) allows communication between devices, things, and
any digital assets that send and receive data over a network without requiring interaction …

Survey on artificial intelligence (AI) techniques for vehicular ad-hoc networks (VANETs)

A Mchergui, T Moulahi, S Zeadally - Vehicular Communications, 2022 - Elsevier
Advances in communications, smart transportation systems, and computer systems have
recently opened up vast possibilities of intelligent solutions for traffic safety, convenience …

Machine learning adoption in blockchain-based smart applications: The challenges, and a way forward

S Tanwar, Q Bhatia, P Patel, A Kumari, PK Singh… - IEEE …, 2019 - ieeexplore.ieee.org
In recent years, the emergence of blockchain technology (BT) has become a unique, most
disruptive, and trending technology. The decentralized database in BT emphasizes data …

VANET applications: Past, present, and future

M Lee, T Atkison - Vehicular Communications, 2021 - Elsevier
Abstract Vehicular Ad-hoc Networks (VANETs) are an emerging technology that has much
potential development ahead of it. VANETs seek to connect devices contained within …

A comprehensive survey on vehicular networking: Communications, applications, challenges, and upcoming research directions

NH Hussein, CT Yaw, SP Koh, SK Tiong… - IEEE Access, 2022 - ieeexplore.ieee.org
Nowadays, advanced communication technologies are being utilized to develop intelligent
transportation management and driving assistance. Through the ability to exchange traffic …

Amalgamation of blockchain and IoT for smart cities underlying 6G communication: A comprehensive review

A Kumari, R Gupta, S Tanwar - Computer Communications, 2021 - Elsevier
Nowadays, increasing urbanization has necessitated the social, environmental, and
economic development of cities to enhance the Quality of Life (QoL) significantly and …

Traffic flow prediction models–A review of deep learning techniques

AA Kashyap, S Raviraj, A Devarakonda… - Cogent …, 2022 - Taylor & Francis
Traffic flow prediction is an essential part of the intelligent transport system. This is the
accurate estimation of traffic flow in a given region at a particular interval of time in the future …

A review of applications, characteristics and challenges in vehicular ad hoc networks (VANETs)

MM Hamdi, L Audah, SA Rashid… - … congress on human …, 2020 - ieeexplore.ieee.org
The density of traffic is increasing daily in the world. As a result, congestion, accidents, and
pollution are also increasing. Vehicular ad hoc network VANET, a subclass of mobile ad hoc …

A taxonomy of AI techniques for 6G communication networks

K Sheth, K Patel, H Shah, S Tanwar, R Gupta… - Computer …, 2020 - Elsevier
With 6G flagship program launched by the University of Oulu, Finland, for full future
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …

Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges

S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …