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

  • Published:2019-11 Issue: Volume:100 Page:456-472
  • ISSN:0167-739X
  • Container-title:Future Generation Computer Systems
  • language:en
  • Short-container-title:Future Generation Computer Systems

Author:

Khan Fazlullah,Ur Rehman Ateeq,Zheng Jiangbin,Jan Mian Ahmad,Alam Muhammad

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference112 articles.

1. J.A. Burke, D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy, M.B. Srivastava, Participatory sensing, in: Proceedings, 2006, pp. 1–5,.

2. Fliermeet: a mobile crowdsensing system for cross-space public information reposting, tagging, and sharing;Guo;IEEE Trans. Mob. Comput.,2015

3. Estimating spatial averages of environmental parameters based on mobile crowdsensing;Koukoutsidis,2017

4. Mobile crowdsensing services for tinnitus assessment and patient feedback;Pryss,2017

5. . Waze Ltd., Waze outsmarting traffic together, http://www.waze.com. (Last accessed on April 7, 2018).

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