The Accuracy-Privacy Tradeoff of Mobile Crowdsensing

  title={The Accuracy-Privacy Tradeoff of Mobile Crowdsensing},
  author={Mohammad Abu Alsheikh and Yutao Jiao and Dusit Niyato and Ping Wang and Derek Leong and Zhu Han},
Mobile crowdsensing has emerged as an efficient sensing paradigm which combines the crowd intelligence and the sensing power of mobile devices, e.g., mobile phones and Internet of Things (IoT) gadgets. This article addresses the contradicting incentives of privacy preservation by crowdsensing users and accuracy maximization and collection of true data by service providers. We firstly define the individual contributions of crowdsensing users based on the accuracy in data analytics achieved by… CONTINUE READING
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Incentive Mechanisms for Time Window Dependent Tasks in Mobile Crowdsensing

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