Results 11 to 20 of about 3,854,170 (324)
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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FedCrow: Federated-Learning-Based Data Privacy Preservation in Crowd Sensing
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
doaj +3 more sources
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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International Journal of Distributed Sensor Networks, 2018 Mobile crowd-sensing is a prospective paradigm especially for intelligent mobile terminals, which collects ubiquitous data efficiently in metropolis. The existing crowd-sensing schemes based on intelligent terminals mainly consider the current trajectory
Chaowei Wang +4 more
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A Dynamic Task Allocation Framework in Mobile Crowd Sensing with D3QN. [PDF]
Sensors (Basel), 2023 With the coverage of sensor-rich smart devices (smartphones, iPads, etc.), combined with the need to collect large amounts of data, mobile crowd sensing (MCS) has gradually attracted the attention of academics in recent years.
Fu Y, Shen Y, Tang L.
europepmc +2 more sources
A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms. [PDF]
Multimed Tools Appl, 2023 Depression has become a global concern, and COVID-19 also has caused a big surge in its incidence. Broadly, there are two primary methods of detecting depression: Task-based and Mobile Crowd Sensing (MCS) based methods.
Thati RP, Dhadwal AS, Kumar P, P S.
europepmc +2 more sources
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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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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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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Location and Time Aware Multitask Allocation in Mobile Crowd-Sensing Based on Genetic Algorithm. [PDF]
Sensors (Basel), 2022 Mobile crowd-sensing (MCS) is a well-known paradigm used for obtaining sensed data by using sensors found in smart devices. With the rise of more sensing tasks and workers in the MCS system, it is now essential to design an efficient approach for task ...
Ipaye AA +6 more
europepmc +2 more sources