A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities-Reference-Cited by-同舟云学术

A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities

Published:2022 Issue: Volume:3 Page:73-85
ISSN:2644-1268
Container-title:IEEE Open Journal of the Computer Society
language:
Short-container-title:IEEE Open J. Comput. Soc.

Author:

Zhao Shiting¹,Qi Guozi¹,He Tengjiao¹^ORCID,Chen Jinpeng²^ORCID,Liu Zhiquan¹^ORCID,Wei Kaimin¹^ORCID

Affiliation:

1. College of Information Science and Technology and National & Local Joint Engineering Research Center of Network Security Detection and Protection Technology, Jinan University, Guangzhou, China

2. School of computer science, Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Natural Science Foundation of China

Guangdong Key R&D Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Strategy and Management,Mechanical Engineering

Link

http://xplorestaging.ieee.org/ielx7/8782664/9682503/09780171.pdf?arnumber=9780171

Reference84 articles.

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4. Steering Crowdsourced Signal Map Construction via Bayesian Compressive Sensing

5. City-Wide Signal Strength Maps: Prediction with Random Forests

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