[HTML][HTML] Internet of things and data mining: An application oriented survey

P Sunhare, RR Chowdhary… - Journal of King Saud …, 2022 - Elsevier
Advancement in the fields of electronic communication, data processing, and internet
technologies enable easy access to and interaction with a variety of physical devices …

Task offloading in vehicular edge computing networks: A load-balancing solution

J Zhang, H Guo, J Liu, Y Zhang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Recently, the rapid advance of vehicular networks has led to the emergence of diverse delay-
sensitive vehicular applications such as automatic driving, auto navigation. Note that …

Smart resource allocation for mobile edge computing: A deep reinforcement learning approach

J Wang, L Zhao, J Liu, N Kato - IEEE Transactions on emerging …, 2019 - ieeexplore.ieee.org
The development of mobile devices with improving communication and perceptual
capabilities has brought about a proliferation of numerous complex and computation …

Collaborative computation offloading for multiaccess edge computing over fiber–wireless networks

H Guo, J Liu - IEEE Transactions on Vehicular Technology, 2018 - ieeexplore.ieee.org
By offloading the computation tasks of the mobile devices (MDs) to the edge server, mobile-
edge computing (MEC) provides a new paradigm to meet the increasing computation …

Mobile-edge computation offloading for ultradense IoT networks

H Guo, J Liu, J Zhang, W Sun… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The emergence of massive Internet of Things (IoT) mobile devices (MDs) and the
deployment of ultradense 5G cells have promoted the evolution of IoT toward ultradense IoT …

Smart and resilient EV charging in SDN-enhanced vehicular edge computing networks

J Liu, H Guo, J Xiong, N Kato, J Zhang… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Smart grid delivers power with two-way flows of electricity and information with the support of
information and communication technologies. Electric vehicles (EVs) with rechargeable …

A survey of cyber-physical systems from a game-theoretic perspective

W Tushar, C Yuen, TK Saha, S Nizami, MR Alam… - IEEE …, 2023 - ieeexplore.ieee.org
With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication
technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm …

Deep learning-based short-term load forecasting approach in smart grid with clustering and consumption pattern recognition

D Syed, H Abu-Rub, A Ghrayeb, SS Refaat… - IEEE …, 2021 - ieeexplore.ieee.org
Different aggregation levels of the electric grid's big data can be helpful to develop highly
accurate deep learning models for Short-term Load Forecasting (STLF) in electrical …

Sway: Traffic-aware QoS routing in software-defined IoT

N Saha, S Bera, S Misra - IEEE Transactions on Emerging …, 2018 - ieeexplore.ieee.org
In this paper, we propose a traffic-aware quality-of-service (QoS) routing scheme in software-
defined internet of things (SDIoT) network. The proposed scheme exploits the unique …

Efficient computation offloading for multi-access edge computing in 5G HetNets

H Guo, J Liu, J Zhang - 2018 IEEE International Conference on …, 2018 - ieeexplore.ieee.org
To meet the mobile devices' surging demands for throughput and computation resources in
5G networks, heterogeneous networks (HetNets) and multi-access edge computing (MEC) …