IoT architecture for urban data-centric services and applications

M Luckner, M Grzenda, R Kunicki… - ACM Transactions on …, 2020 - dl.acm.org
In this work, we describe an urban Internet of Things (IoT) architecture, grounded in big data
patterns and focused on the needs of cities and their key stakeholders. First, the architecture …

Low complexity and fast processing algorithms for V2I massive MIMO uplink detection

F Jiang, C Li, Z Gong - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
The fast development of intelligent transport systems requires high-rate communications,
high energy efficiency, and low latency. One promising solution to meet the requirements is …

Improving urban crowd flow prediction on flexible region partition

X Wang, Z Zhou, Y Zhao, X Zhang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Accurate forecast of citywide crowd flows on flexible region partition benefits urban planning,
traffic management, and public safety. Previous research either fails to capture the complex …

An improved Markov method for prediction of user mobility

Y Cheng, Y Qiao, J Yang - 2016 12th International Conference …, 2016 - ieeexplore.ieee.org
The developments of Information and Communication Technology (ICT) and Internet of
Things (IoT) are being used to enhance quality, performance and interactivity of urban …

Analysis of multiple clients' behaviors in edge computing environment

P Guan, X Deng, Y Liu, H Zhang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Edge computing is an emerging novel computation paradigm, which plays a vital role in the
5G era. A basic application scenario in edge computing is that end users have the ability to …

An adaptive learning-based approach for vehicle mobility prediction

L Irio, A Ip, R Oliveira, M Luís - IEEE Access, 2021 - ieeexplore.ieee.org
This work presents an innovative methodology to predict the future trajectories of vehicles
when its current and previous locations are known. We propose an algorithm to adapt the …

[HTML][HTML] Mobile technology and studies on transport behavior: A literature analysis, integrated research model, and future research agenda

Y Sun, C Liu, C Zhang - Mobile Information Systems, 2021 - hindawi.com
The prevalence of mobile technology has been significant in transport research. Despite a
growing application spectrum of smartphone uses and interests in mobility inference, little …

Multiple delay estimation for collision resolution in non-orthogonal random access

L Bai, R Han, J Liu, J Choi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In machine-type communications (MTC), contention-based random access is employed to
support a number of MTC devices with a limited number of resource blocks (RBs). Since …

HOAH: A hybrid TCP throughput prediction with autoregressive model and hidden Markov model for mobile networks

B Wei, K Kanai, W Kawakami, J Katto - IEICE Transactions on …, 2018 - search.ieice.org
Throughput prediction is one of the promising techniques to improve the quality of service
(QoS) and quality of experience (QoE) of mobile applications. To address the problem of …

Socially privacy-preserving data collection for crowdsensing

G Yang, Z Shi, S He, J Zhang - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Crowdsensing has been recognized as a promising data collection paradigm, in which a
platform outsources sensing tasks to a large number of users. However, requesting users to …