Distributed spatial crowdsourcing based task allocation in Ocean Internet of Things-Reference-Cited by-同舟云学术

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Distributed spatial crowdsourcing based task allocation in Ocean Internet of Things

Published:2023-02-14 Issue:2 Volume:16 Page:1195-1205
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Cao Hongtang,Guo Ying,Li Fei,Zhang Keyi

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12145-023-00942-8.pdf

Reference28 articles.

1. Abdullah NA, Rahman MM, Rahman MM et al (2020) A framework for optimal worker selection in spatial crowdsourcing using Bayesian network. IEEE Access 8:120218–120233. https://doi.org/10.1109/ACCESS.2020.3005543

2. Akyildiz IF, Pompili D, Melodia T (2005) Underwater acoustic sensor networks: research challenges. 3. https://doi.org/10.1016/j.adhoc.2005.01.004

3. Alt F, Shirazi AS, Schmidt A et al (2010) Location-based crowdsourcing: Extending crowdsourcing to the real world. In: the 6th Nordic Conference. https://doi.org/10.1145/1868914.1868921

4. Burkard RE, Martello S, Dell’Amico M (2012) Assignment problems

5. Chen L, Shahabi C (2016) Spatial crowdsourcing: Challenges and opportunities. IEEE Data Eng Bull 39:14–25

Cited by 1 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

1. Multi-drone Task Allocation based on Adaptive Fireworks Algorithm;2023 Global Conference on Information Technologies and Communications (GCITC);2023-12-01

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