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Crowdsensing
Data Trustworthiness Evaluation in Mobile Crowdsensing Systems with Users’ Trust Dispositions’ Consideration
Crowdsourcing/Crowdsensing Leveraging the Power of the Crowd in Science
Crowdsensing-Driven Route Optimisation Algorithms for Smart Urban Mobility
Mobile Crowdsensing: Current State and Future Challenges
Crowdsensing and Privacy in Smart City Applications
Managing Alarming Situations with Mobile Crowdsensing Systems and Wearable Devices
Adopting Incentive Mechanisms for Large-Scale Participation in Mobile
Lowering the Barriers to Large-Scale Mobile Crowdsensing
Crowdsensing-Driven Route Optimisation Algorithms for Smart Urban Mobility
Crowdsensing Scenarios for the Common Good
Crowdsensing and Vehicle-Based Sensing
Quality of Information in Mobile Crowdsensing: Survey and Research Challenges
A Survey of Mobile Crowdsensing Techniques: a Critical Component for the Internet of Things
Facilitating Mobile Crowdsensing from Both Organizers' and Participants
Collaborative Crowdsensing at the Edge Yifan Du
Mobile Crowd Sensing
Incentive Mechanisms for Crowdsensing: Crowdsourcing With
An Accurate Indoor Positioning Algorithm Using Sensors and Crowdsourced Landmarks
Top View
Embracing Crowdsensing: an Enhanced Mobile Sensing Solution for Road Anomaly Detection
A Security Framework for Mobile Crowd Sensing Applications
Task Allocation in Mobile Crowd Sensing: State of the Art and Future Opportunities
Mobile Crowd-Sensing in the Smart City Imre Lendák Faculty of Technical Sciences, University of Novi Sad, Serbia,
[email protected]
Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues
The Emergence of Visual Crowdsensing: Challenges and Opportunities
CAPP: a Context-Aware Proof of Presence for Crowdsensing Incentives
Combining Internet of Things and Crowdsourcing for Pervasive Research and End-User Centric Experimental Infrastructures (Iot Lab)
Incentive Mechanism for Vehicular Crowdsensing with Budget Constrains
Hybrid Crowdsensing: a Novel Paradigm to Combine the Strengths of Opportunistic and Participatory Crowdsensing
Frameworks for Privacy-Preserving Mobile Crowdsensing Incentive Mechanisms
Provably Secure Anonymous-Yet-Accountable
Next Generation Crowdsourcing for Collective Intelligence
Wirelessly Powered Urban Crowd Sensing Over Wearables