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 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 …

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 …

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 …

Edge content caching with deep spatiotemporal residual network for IoV in smart city

X Xu, Z Fang, J Zhang, Q He, D Yu, L Qi… - ACM Transactions on …, 2021 - dl.acm.org
Internet of Vehicles (IoV) enables numerous in-vehicle applications for smart cities, driving
increasing service demands for processing various contents (eg, videos). Generally, for …

Blockchain and deep reinforcement learning empowered intelligent 5G beyond

Y Dai, D Xu, S Maharjan, Z Chen, Q He… - IEEE network, 2019 - ieeexplore.ieee.org
Blockchain and AI are promising techniques for next-generation wireless networks.
Blockchain can establish a secure and decentralized resource sharing environment. AI can …

Deep reinforcement learning and permissioned blockchain for content caching in vehicular edge computing and networks

Y Dai, D Xu, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm to enable huge amount of data
and multimedia content to be cached in proximity to vehicles. However, high mobility of …