Spatial-temporal Coverage Maximization in Vehicle-based Mobile Crowdsensing for Air Quality Monitoring
Author:
Affiliation:
1. Hanoi University of Science and Technology,School of Information and Communication Technology,Hanoi,Vietnam
2. The National Institute of Advanced Industrial Science and Technology (AIST),Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9771381/9771540/09771711.pdf?arnumber=9771711
Cited by 10 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. Spatial-Temporal Data Inference With Graph Attention Neural Networks in Sparse Mobile Crowdsensing;IEEE Transactions on Network Science and Engineering;2024-09
2. A Coverage-Aware Task Allocation Method for UAV-Assisted Mobile Crowd Sensing;IEEE Transactions on Vehicular Technology;2024-07
3. EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices;IEEE Internet of Things Journal;2024-06-15
4. Sparse Region Prediction and Interpretability Analysis for Mobile Crowdsensing;IEEE Internet of Things Journal;2024-06-15
5. SenseNow: A Time-Dependent Incentive Approach for Vehicular Crowdsensing;IEEE Open Journal of Intelligent Transportation Systems;2024
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