Hsm-smcs: Task assignment based on hybrid sensing modes in sparse mobile crowdsensing

X Wei, Z Li, C Ren, T Guo, S Gao - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Sparse mobile crowdsensing (Sparse MCS) is an emerging paradigm for urban-scale
sensing applications, which recruits suitable participants to complete sensing tasks in only a …

An edge computing-based photo crowdsourcing framework for real-time 3D reconstruction

S Yu, X Chen, S Wang, L Pu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Image-based three-dimensional (3D) reconstruction utilizes a set of photos to build 3D
model and can be widely used in many emerging applications such as augmented reality …

Hybrid precoding for an adaptive interference decoding SWIPT system with full-duplex IoT devices

X Zhao, Y Zhang, S Geng, F Du… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
In this article, a simultaneous wireless information and power transfer (SWIPT) system with
full-duplex (FD) Internet of Things (IoT) nodes is considered and investigated. We induce the …

Two-timescale resource allocation for automated networks in IIoT

Y He, Y Ren, Z Zhou, S Mumtaz… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The rapid technological advances of cellular technologies will revolutionize network
automation in industrial internet of things (IIoT). In this paper, we investigate the two …

Green Internet of vehicles: Architecture, enabling technologies, and applications

H Chen, T Zhao, C Li, Y Guo - IEEE Access, 2019 - ieeexplore.ieee.org
With the development of Internet of Vehicles (IoV) and the gradual maturity of 5th Generation
Mobile Networks (5G) technology, the further development of the IoV highly relies on …

Fusion of infrared-visible images in UE-IoT for fault point detection based on GAN

B Liao, Y Du, X Yin - IEEE Access, 2020 - ieeexplore.ieee.org
In the development of modern intelligent Ubiquitous Electric Internet of Things (UE-IoT),
infrared thermal imaging always plays an important role in automated early-warning …

When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives

Z Wang, Y Cao, K Jiang, H Zhou, J Kang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …

Toward collaborative mobile crowdsourcing

A Hamrouni, T Alelyani, H Ghazzai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Mobile crowdsourcing (MC) is an effective way of engaging large groups of smart devices to
perform tasks remotely while exploiting their built-in features. It has drawn great attention in …

Green fog planning for optimal internet-of-thing task scheduling

Z He, Y Zhang, B Tak, L Peng - IEEE Access, 2019 - ieeexplore.ieee.org
The incoming 5G technology is expected to proliferate tremendous internet-of-thing (IoT)
services with real-time and mobility requirements, which are quite different from the legacy …

Task offloading for vehicular fog computing under information uncertainty: A matching-learning approach

H Liao, Z Zhou, X Zhao, B Ai… - 2019 15th International …, 2019 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has emerged as a cost-efficient solution for task processing
in vehicular networks. However, how to realize stable and reliable task offloading under …