A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks [PDF]
Sensors, 2018 Crowd sensing is a perception mode that recruits mobile device users to complete tasks such as data collection and cloud computing. For the cloud computing platform, crowd sensing can not only enable users to collaborate to complete large-scale awareness
Bing Jia +4 more
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BcDKM: Blockchain-Based Dynamic Key Management Scheme for Crowd Sensing in Vehicular Sensor Networks [PDF]
SensorsVehicular sensor networks (VSNs) consist of vehicles equipped with various sensing devices, such as LiDAR. In a VSN, vehicles and/or roadside units (RSUs) can be organized into a vehicular cloud (VC) to enable the sharing of sensing and computational ...
Mingrui Zhang, Ru Meng, Lei Zhang
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Differentially Private Mobile Crowd Sensing Considering Sensing Errors [PDF]
Sensors, 2020 An increasingly popular class of software known as participatory sensing, or mobile crowdsensing, is a means of collecting people’s surrounding information via mobile sensing devices. To avoid potential undesired side effects of this data analysis method,
Yuichi Sei, Akihiko Ohsuga
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SenseCrypt: A Security Framework for Mobile Crowd Sensing Applications [PDF]
Sensors, 2020 The proliferation of mobile devices such as smartphones and tablets with embedded sensors and communication features has led to the introduction of a novel sensing paradigm called mobile crowd sensing.
Nsikak Pius Owoh +1 more
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Map-Assisted 3D Indoor Localization Using Crowd-Sensing-Based Trajectory Data and Error Ellipse-Enhanced Fusion [PDF]
Remote Sensing, 2022 Crowd-sensing-based localization is regarded as an effective method for providing indoor location-based services in large-scale urban areas. The performance of the crowd-sensing approach is subject to the poor accuracy of collected daily-life ...
Qiao Wan +3 more
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A Novel Multi-Objective and Multi-Constraint Route Recommendation Method Based on Crowd Sensing [PDF]
Applied Sciences, 2021 Nowadays, people choose to travel in their leisure time more frequently, but fixed predetermined tour routes can barely meet people’s personalized preferences.
Xiaoyao Zheng +5 more
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Remote sensing and crowd-sourcing [PDF]
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013 Collection of ground truth to validate remote sensing classification and/or detection algorithms is rarely accounted for due to the inaccessibility of the sites or the elevated costs of such operations. In this paper some of the opportunities behind crowd-sourcing are explored through the description of a remote sensing project on water quality ...
Raffaella Guida +2 more
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FedCrow: Federated-Learning-Based Data Privacy Preservation in Crowd Sensing [PDF]
Applied SciencesIn the process of completing large-scale and fine-grained sensing tasks for the new generation of crowd-sensing systems, the role of analysis, reasoning, and decision making based on artificial intelligence has become indispensable. Mobile crowd sensing,
Jun Ma, Long Chen, Jian Xu, Yaoxuan Yuan
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Congested Crowd Counting via Adaptive Multi-Scale Context Learning [PDF]
Sensors, 2021 In this paper, we propose a novel congested crowd counting network for crowd density estimation, i.e., the Adaptive Multi-scale Context Aggregation Network (MSCANet).
Yani Zhang +5 more
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Distributed Task Offloading in Heterogeneous Vehicular Crowd Sensing [PDF]
Sensors, 2016 The ability of road vehicles to efficiently execute different sensing tasks varies because of the heterogeneity in their sensing ability and trajectories.
Yazhi Liu +4 more
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