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An Introduction to Mobile Crowdsensing

2018
Rahat Ali Khan, Al-Sakib Khan Pathan
openaire   +1 more source

Mobile Crowdsensing in Healthcare Scenarios: Taxonomy, Conceptual Pillars, Smart Mobile Crowdsensing Services

2019
Recently, new paradigms like crowdsensing emerged in the context of mobile technologies that promise to support researchers in life sciences and the healthcare domain in a new way. For example, by the use of smartphones, valuable data can be quickly gathered in everyday life and then easily compared to other crowd users, especially when taking ...
openaire   +1 more source

Mobile Crowdsensing Model: A survey

Journal of Systems Architecture
Abderrafi Abdeddine   +2 more
openaire   +1 more source

CrowdBLPS: A Blockchain-Based Location-Privacy-Preserving Mobile Crowdsensing System

IEEE Transactions on Industrial Informatics, 2020
Honggang Wang, Shihong Zou, Jinwen Xi
exaly  

A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities

IEEE Communications Surveys and Tutorials, 2019
Andrea Capponi   +2 more
exaly  

FIDC: A framework for improving data credibility in mobile crowdsensing

Computer Networks, 2017
Zhiping Cai, Yueyue Chen, Kui Wu
exaly  

Data-Oriented Mobile Crowdsensing: A Comprehensive Survey

IEEE Communications Surveys and Tutorials, 2019
Linghe Kong, Guihai Chen
exaly  

Mobile crowdsensing: A survey on privacy-preservation, task management, assignment models, and incentives mechanisms

Future Generation Computer Systems, 2019
Ateeq Ur Rehman   +2 more
exaly  

Estimating Spatial Averages of Environmental Parameters Based on Mobile Crowdsensing

ACM Transactions on Sensor Networks, 2018
Ioannis Koukoutsidis
exaly  

Truthful Incentive Mechanisms for Geographical Position Conflicting Mobile Crowdsensing Systems

IEEE Transactions on Computational Social Systems, 2018
Zhipeng Cai, Meng Han, Yingshu Li
exaly  

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