Open Access
Issue |
ITM Web Conf.
Volume 47, 2022
2022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|
|
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Article Number | 02050 | |
Number of page(s) | 6 | |
Section | Algorithm Optimization and Application | |
DOI | https://doi.org/10.1051/itmconf/20224702050 | |
Published online | 23 June 2022 |
- Ganti R, YE F, LEI H. Mobile crowdsensing: current state and future challenges [J]. IEEE Communications Magazine, 2011, 49(11): 32-39. [CrossRef] [Google Scholar]
- Guo B, CHEN C, ZHANG D, etal. Mobile crowd sensing and computing: when participatory sensing meets participatory social media [J]. IEEE Communications Magazine, 2016, 54(2): 131-137. [CrossRef] [Google Scholar]
- Antonić A, MARJANOVIĆ M, PRIPUŽIĆ K, etal. A mobile crowd sensing ecosystem enabled by CUPUS: Cloud-based publish/subscribe middleware for the Internet of Things [J]. Future Generation Computer Systems, 2016, 56: 607-622. [CrossRef] [Google Scholar]
- Crowdsensing platform: Sensarena[C]// Proceedings of the 2016 13th IEEE Annual Consumer Communications & Networking Conference. 2016: 1-2. [Google Scholar]
- Ben MESSAOUD R, REJIBA Z, GHAMRI-DOUDANE Y. An energy-aware end-to-end SHERCHAN W, JAYARAMAN P P, KRISHNASWAMY S, etal. Using On-the-Move Mining for Mobile Crowdsensing[C]// Proceedings of the 2012 IEEE 13th International Conference on Mobile Data Management. 2012:115-124. [Google Scholar]
- Mach P, BECVAR Z. Mobile Edge Computing: A Survey on Architecture and Computation Offloading [J]. IEEE Communications Surveys & Tutorials, 2017, 19(3): 1628-1656. [CrossRef] [MathSciNet] [Google Scholar]
- Marjanovic M, ANTONIC A, ZARKO I P. Edge Computing Architecture for Mobile Crowdsensing [J]. IEEE Access, 2018, 6: 10662-10674. [CrossRef] [Google Scholar]
- Donoho D L. Compressed sensing [J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306. [CrossRef] [MathSciNet] [Google Scholar]
- Zheng Y, LIU F, HSIEH H. U-Air: when urban air quality inference meets big data[C]// Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining. 2013: 1436-1444. [Google Scholar]
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