A survey on integrated sensing, communication, and computation

D Wen, Y Zhou, X Li, Y Shi, K Huang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The forthcoming generation of wireless technology, 6G, promises a revolutionary leap
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …

Data-oriented mobile crowdsensing: A comprehensive survey

Y Liu, L Kong, G Chen - IEEE communications surveys & …, 2019 - ieeexplore.ieee.org
Mobile devices equipped with rich sensors, such as smartphones, watches, or vehicles,
have been pervasively used all around the world. Their high penetration and powerful …

Game theory in mobile crowdsensing: A comprehensive survey

VS Dasari, B Kantarci, M Pouryazdan, L Foschini… - Sensors, 2020 - mdpi.com
Mobile CrowdSensing (MCS) is an emerging paradigm in the distributed acquisition of smart
city and Internet of Things (IoT) data. MCS requires large number of users to enable access …

Quality-aware user recruitment based on federated learning in mobile crowd sensing

W Zhang, Z Li, X Chen - Tsinghua science and technology, 2021 - ieeexplore.ieee.org
With the rapid development of mobile devices, the use of Mobile Crowd Sensing (MCS)
mode has become popular to complete more intelligent and complex sensing tasks …

PPQC: A blockchain-based privacy-preserving quality control mechanism in crowdsensing applications

J An, Z Wang, X He, X Gui, J Cheng… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
With the rapid development of embedded smart devices, a new data collection paradigm,
mobile crowd-sensing (MCS), has been proposed. MCS allows individuals from the crowd to …

A review of mobile crowdsourcing architectures and challenges: Toward crowd-empowered internet-of-things

J Phuttharak, SW Loke - Ieee access, 2018 - ieeexplore.ieee.org
Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful
approach incorporating human wisdom into mobile computations to solve problems while …

The right tools for the job: The case for spatial science tool‐building

G Boeing - Transactions in GIS, 2020 - Wiley Online Library
This article was presented as the 8th annual Transactions in GIS plenary address at the
American Association of Geographers annual meeting in Washington, DC. The spatial …

Privacy-preserving and customization-supported data aggregation in mobile crowdsensing

X Yan, B Zeng, X Zhang - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Data aggregation is a fundamental problem in mobile crowdsensing (MCS). However, the
existing approaches are still unsatisfactory considering the privacy protection of sensing …

Spatial-temporal data inference with graph attention neural networks in sparse mobile crowdsensing

G Yang, P Wen, Y Liu, L Kong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Sparse mobile crowdsensing, driven by the increasing ubiquity of smartphones, has
emerged as a popular method for data collection. This approach can reconstruct the whole …

Optimizing mobile crowdsensing platforms for boundedly rational users

M Karaliopoulos, E Bakali - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
In participatory mobile crowdsensing (MCS) users repeatedly make choices among a finite
set of alternatives, ie, whether to contribute to a task or not and which task to contribute to …