Quality of Coverage: A Novel Approach to Coverage for Mobile Crowd Sensing Systems
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8632667/8635591/08635769.pdf?arnumber=8635769
Cited by 6 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. Task Assignment in Extreme Edge Sensing: Balancing Response Time and Incentives;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. Integrated Crowd Counting System Utilizing IoT Sensors, OpenCV and YOLO Models for Accurate People Density Estimation in Real-Time Environments;2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU);2024-03-01
3. Novel Distribution-Aware and Learning-Based Dynamic Scheme for Efficient User Incentivization in Edge Sensing Systems;IEEE Open Journal of the Communications Society;2024
4. A task allocation method based on data fusion of multimodal trajectory in mobile crowd sensing;Peer-to-Peer Networking and Applications;2023-06-14
5. Improving mobile mass monitoring in the IoT environment based on Fog computing using an improved forest optimization algorithm;Journal of Control and Decision;2022-08-04
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