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A Cost-Effective Distributed Framework for Data Collection in Cloud-Based Mobile Crowd Sensing Architectures

  • Published:2017-01-01 Issue:1 Volume:2 Page:3-16
  • ISSN:2377-3782
  • Container-title:IEEE Transactions on Sustainable Computing
  • language:
  • Short-container-title:IEEE Trans. Sustain. Comput.

Author:

Capponi Andrea,Fiandrino Claudio,Kliazovich Dzmitry,Bouvry Pascal,Giordano Stefano

Funder

National Research Fund (FNR)

ECO-CLOUD

iShOP

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Control and Optimization,Hardware and Architecture,Renewable Energy, Sustainability and the Environment,Software

Cited by 59 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Multiple heterogeneous cluster-head-based secure data collection in mobile crowdsensing environment;The Journal of Supercomputing;2024-08-07

3. Decentralized Online Learning in Task Assignment Games for Mobile Crowdsensing;IEEE Transactions on Communications;2024-08

4. Dynamic Scheduling for Quality of Information Maximization in Location-aware Opportunistic Mobile Crowdsensing;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05

5. Resource Management Techniques in Cloud-Fog for IoT and Mobile Crowdsensing Environments;International Journal of Electronics and Telecommunications;2022-12-27
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