Reliability in Internet of Things: Current status and future perspectives

L Xing - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) aims to transform the human society toward becoming intelligent,
convenient, and efficient with potentially enormous economic and environmental benefits …

A review on edge computing in smart energy by means of a systematic mapping study

I Sittón-Candanedo, RS Alonso, Ó García, AB Gil… - Electronics, 2019 - mdpi.com
Context: Smart Energy is a disruptive concept that has led to the emergence of new energy
policies, technology projects, and business models. The development of those models is …

Green AI for IIoT: Energy efficient intelligent edge computing for industrial internet of things

S Zhu, K Ota, M Dong - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) technology is a huge opportunity for the Industrial Internet of Things
(IIoT) in the fourth industrial revolution (Industry 4.0). However, most AI-driven applications …

Data fusion based coverage optimization in heterogeneous sensor networks: A survey

X Deng, Y Jiang, LT Yang, M Lin, L Yi, M Wang - Information Fusion, 2019 - Elsevier
Sensor networks, as a promising network paradigm, have been widely applied in a great
deal of critical real-world applications. A key challenge in sensor networks is how to improve …

Multivariate multi-order Markov multi-modal prediction with its applications in network traffic management

H Liu, LT Yang, J Chen, M Ye, J Ding… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Predicting the future network traffic through big data analysis technologies has been one of
the important preoccupations of network design and management. Combining Markov …

Model and algorithms for the planning of fog computing networks

D Zhang, F Haider, M St-Hilaire… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Fog computing has risen as a promising technology for augmenting the computational and
storage capability of the end devices and edge networks. The urging issues in this …

Multi-dimensional correlative recommendation and adaptive clustering via incremental tensor decomposition for sustainable smart education

H Liu, J Ding, LT Yang, Y Guo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Online education and e-learning have vigorously sprung up and produced massive
educational data in a streaming way. It is very challenging to acquire the appropriate …

Improved multi-order distributed HOSVD with its incremental computing for smart city services

X Wang, LT Yang, X Chen, MJ Deen… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Smart city, a focus of many researchers from academia and industry, is a successful
example of Cyber-Physical-Social Systems (CPSS). Based on the rapid and efficient …

An intelligence energy consumption model based on BP neural network in mobile edge computing

Z Zhou, Y Li, F Li, H Cheng - Journal of Parallel and Distributed Computing, 2022 - Elsevier
Establishing an accurate edge server power model is helpful for resource providers to
predict and optimize power consumption within edge data centers. Considering the fact that …

Multi-cluster high performance computing method based on multimodal tensor in enterprise resource planning system

H Zhang, R Xia, H Ye, D Shi, P Li, W Fan - Physical Communication, 2024 - Elsevier
The big data representation and processing method based on multimodal tensors can
achieve the fusion representation of different types of data, and perform correlation analysis …