Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges

W Tushar, C Yuen, TK Saha, T Morstyn, AC Chapman… - Applied energy, 2021 - Elsevier
After a century of relative stability in the electricity industry, extensive deployment of
distributed energy resources and recent advances in computation and communication …

A survey of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Blockchain for the internet of vehicles towards intelligent transportation systems: A survey

MB Mollah, J Zhao, D Niyato, YL Guan… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) is an emerging concept that is believed to help realize the vision of
intelligent transportation systems (ITSs). IoV has become an important research area of …

Blockchain for Internet of Things: A survey

HN Dai, Z Zheng, Y Zhang - IEEE internet of things journal, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) is reshaping the incumbent industry to smart industry featured with
data-driven decision-making. However, intrinsic features of IoT result in a number of …

Adaptive edge association for wireless digital twin networks in 6G

Y Lu, S Maharjan, Y Zhang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Sixth-generation (6G) is envisioned to be characterized by ubiquitous connectivity,
extremely low latency, and enhanced edge intelligence. However, enriching 6G with these …

Vehicular edge computing and networking: A survey

L Liu, C Chen, Q Pei, S Maharjan, Y Zhang - Mobile networks and …, 2021 - Springer
As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network
(VANET) has received remarkable interest from academia and industry. The emerging …

Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks

Y Liu, H Yu, S Xie, Y Zhang - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …

Thirty years of machine learning: The road to Pareto-optimal wireless networks

J Wang, C Jiang, H Zhang, Y Ren… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

Blockchain technology for intelligent transportation systems: A systematic literature review

R Jabbar, E Dhib, AB Said, M Krichen, N Fetais… - IEEE …, 2022 - ieeexplore.ieee.org
The use of Blockchain technology has recently become widespread. It has emerged as an
essential tool in various academic and industrial fields, such as healthcare, transportation …

Autonomous vehicles enabled by the integration of IoT, edge intelligence, 5G, and blockchain

A Biswas, HC Wang - Sensors, 2023 - mdpi.com
The wave of modernization around us has put the automotive industry on the brink of a
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …