A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities

Article Properties
  • DOI (url)
    10.1109/ojcs.2022.3177290
  • Publication Date
    2022/01/01
  • Journal
    IEEE Open Journal of the Computer Society
  • Indian UGC (journal)
  • Refrences
    84
  • Shiting Zhao College of Information Science and Technology and National & Local Joint Engineering Research Center of Network Security Detection and Protection Technology, Jinan University, Guangzhou, China
  • Guozi Qi College of Information Science and Technology and National & Local Joint Engineering Research Center of Network Security Detection and Protection Technology, Jinan University, Guangzhou, China
  • Tengjiao He College of Information Science and Technology and National & Local Joint Engineering Research Center of Network Security Detection and Protection Technology, Jinan University, Guangzhou, China ORCID (unauthenticated)
  • Jinpeng Chen School of computer science, Beijing University of Posts and Telecommunications, Beijing, China ORCID (unauthenticated)
  • Zhiquan Liu College of Information Science and Technology and National & Local Joint Engineering Research Center of Network Security Detection and Protection Technology, Jinan University, Guangzhou, China ORCID (unauthenticated)
  • Kaimin Wei College of Information Science and Technology and National & Local Joint Engineering Research Center of Network Security Detection and Protection Technology, Jinan University, Guangzhou, China ORCID (unauthenticated)
Cite
Zhao, Shiting, et al. “A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities”. IEEE Open Journal of the Computer Society, vol. 3, 2022, pp. 73-85, https://doi.org/10.1109/ojcs.2022.3177290.
Zhao, S., Qi, G., He, T., Chen, J., Liu, Z., & Wei, K. (2022). A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities. IEEE Open Journal of the Computer Society, 3, 73-85. https://doi.org/10.1109/ojcs.2022.3177290
Zhao S, Qi G, He T, Chen J, Liu Z, Wei K. A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities. IEEE Open Journal of the Computer Society. 2022;3:73-85.
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Refrences
Title Journal Journal Categories Citations Publication Date
Survey on crowdsensing networks 2016
The rise of crowdsourcing 2006
Proloc: Resilient localization with private observers using partial homomorphic encryption 2017
Multi-task allocation in mobile crowd sensing 2016
Direct participant recruitment strategy in sparse mobile crowdsensing 2022