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A survey on integrated sensing, communication, and computation
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 …
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …
Data-oriented mobile crowdsensing: A comprehensive survey
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 …
have been pervasively used all around the world. Their high penetration and powerful …
Game theory in mobile crowdsensing: A comprehensive survey
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 …
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 …
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 …
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
Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful
approach incorporating human wisdom into mobile computations to solve problems while …
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 …
American Association of Geographers annual meeting in Washington, DC. The spatial …
Privacy-preserving and customization-supported data aggregation in mobile crowdsensing
Data aggregation is a fundamental problem in mobile crowdsensing (MCS). However, the
existing approaches are still unsatisfactory considering the privacy protection of sensing …
existing approaches are still unsatisfactory considering the privacy protection of sensing …
Spatial-temporal data inference with graph attention neural networks in sparse mobile crowdsensing
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 …
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 …
set of alternatives, ie, whether to contribute to a task or not and which task to contribute to …