BEP-IM: A Vehicular Crowdsensing Incentive Mechanism to Drive Sustained Spatial Coverage and Proactive Sensing Shaping. [PDF]
Entropy (Basel)Zhang J +5 more
europepmc +1 more source
A fog-assisted group-based truth discovery framework over mobile crowdsensing data streams. [PDF]
PLoS OneAlamri BHS +3 more
europepmc +1 more source
E-PTES-S: Enhanced Trust Evaluation via Multidimensional Spatiotemporal Fusion and Variance-Based Stability Sequence Extraction in IoT Sensing Networks. [PDF]
Sensors (Basel)Liu J +5 more
europepmc +1 more source
Intra-Company Crowdsensing: Datafication with Human-in-the-Loop. [PDF]
Sensors (Basel), 2022 Domaszewicz J, Parzych D.
europepmc +1 more source
Mobile Crowdsensing in Software Defined Opportunistic Networks
application/pdfMobile crowdsensing is a new paradigm that sharing sensing data collected by mobile devices such as smartphones and tablets. As mobile devices are usually connected by an opportunistic network for data transferring, it is hard to ...
リ, ホ +9 more
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Secure and Trusted Crowdsensing for Outdoor Air Quality Monitoring: State of the Art and Perspectives. [PDF]
Sensors (Basel)Marche C +6 more
europepmc +1 more source
CrowdRadar: a mobile crowdsensing framework for urban traffic green travel safety risk assessment. [PDF]
Front Big DataWang Y +7 more
europepmc +1 more source
PARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems. [PDF]
Sensors (Basel), 2021 Zhang Z, Yum DH, Shin M.
europepmc +1 more source
A secure and efficient user selection scheme in vehicular crowdsensing. [PDF]
Sci RepZhang M, Ye Q, Yuan Z, Deng K.
europepmc +1 more source
Distributed Visual Crowdsensing Framework for Area Coverage in Resource Constrained Environments. [PDF]
Sensors (Basel), 2022 Mowafi M, Awad F, Al-Quran F.
europepmc +1 more source