Results 221 to 230 of about 12,378 (273)

BASIC: Distributed Task Assignment With Auction Incentive in UAV-Enabled Crowdsensing System

IEEE Transactions on Vehicular Technology
With the wide adoption of unmanned aerial vehicles (UAVs) in our daily life, using UAVs to collect sensing data from the surrounding environment has become a practice. Notably, people use UAVs to capture videos and upload them to Youtube.
Qichao Xu, Z. Su, Dongfeng Fang, Yuan Wu
semanticscholar   +1 more source

Learning in the Air: Secure Federated Learning for UAV-Assisted Crowdsensing

IEEE Transactions on Network Science and Engineering, 2021
Unmanned aerial vehicles (UAVs) combined with artificial intelligence (AI) have opened a revolutionized way for mobile crowdsensing (MCS). Conventional AI models, built on aggregation of UAVs’ sensing data (typically contain private and sensitive user ...
Yuntao Wang, Zhou Su, Ning Zhang, A. Benslimane   +3 more
semanticscholar   +1 more source

Large-Scale Spatiotemporal Fracture Data Completion in Sparse CrowdSensing

IEEE Transactions on Mobile Computing
Mobile CrowdSensing (MCS) is a widely adopted approach that involves engaging mobile users to collaboratively perform diverse sensing tasks. In Sparse CrowdSensing, the completion of data from partially-sensed sources plays a pivotal role in urban ...
E. Wang, Mijia Zhang, Boai Yang, Yongjian Yang, Jie Wu   +4 more
semanticscholar   +1 more source

Sparse Mobile Crowdsensing for Cost-Effective Traffic State Estimation With Spatio–Temporal Transformer Graph Neural Network

IEEE Internet of Things Journal
Recently, mobile crowdsensing (MCS) has emerged as a promising solution for traffic state estimation (TSE), which provides real-time and accurate traffic information for supporting diversified intelligent transportation systems (ITSs) applications ...
Jianzhe Xue, Yunting Xu, Wen-Chao Wu, Tianqi Zhang, Qinghong Shen, Haibo Zhou, Weihua Zhuang   +6 more
semanticscholar   +1 more source

Crowdsensing Under (Soft) Control

2015 IEEE Conference on Computer Communications (INFOCOM), 2015
Crowdsensing leverages the pervasiveness and power of mobile devices, such as smartphones and tablets, to enable ordinary citizens to collect, transport and verify data. Application domains range from environment monitoring, to infrastructure management and social computing.
John P. Rula, Fabian E. Bustamante
openaire   +1 more source

Offloading Surrogates Characterization via Mobile Crowdsensing

Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications, 2017
This paper uses data mining of a mobile crowdsensed dataset of passive WiFi scans to define attributes that can characterize a chaotic WiFi deployment with respect to offloading opportunities. Besides indicators of signal quality, we define indicators of contact windows and contact opportunities with an Access Point (AP). We apply k-means clustering to
Lima, Emanuel, Aguiar, Ana, Carvalho, Paulo   +2 more
openaire   +2 more sources

Enabling Accurate and Efficient Privacy-Preserving Truth Discovery for Sparse Crowdsensing

IEEE Transactions on Dependable and Secure Computing
Mobile users often prefer to sense only a subset of tasks based on their preferences or physical conditions, which distinguishes sparse crowdsensing from traditional crowdsensing.
Shaoxian Yuan, Kaiping Xue, Bin Zhu, Jingchen Zhao, Yaxuan Huang, Yuandong Xie, David S. L. Wei   +6 more
semanticscholar   +1 more source

Browser-enabled distributed crowdsensing

2017 4th Experiment@International Conference (exp.at'17), 2017
Mobile Crowdsensing is often used for involving large number of persons in distributed sensing experiments. In some cases, (e.g., online games, online sensing of sensitive data, etc.) privacy and security issues arise. Peer-to-peer networks can be effectively used to guarantee anonymity and solve the above mentioned issues.
Bochicchio, Mario A., Longo, Antonella, Vaira, Lucia, Zappatore, Marco, Cazzella, Lorenzo   +4 more
openaire   +1 more source

A Lyapunov Optimization Approach for Long-Term Task Assignment in Vehicular Crowdsensing

IEEE transactions on consumer electronics
Vehicular crowdsensing has recently received considerable attention, due to its promising capability of collecting useful information for the Internet of Vehicles.
Xuhui Guo, Xiumin Wang, Weijian Pan, Weiwei Wu, Kai Liu   +4 more
semanticscholar   +1 more source

Incentivization for Health Crowdsensing

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2017
Crowdsensing in the case of health-related information can enable a new mode of health data collection, able to collect more detailed and real-world health and physiological data than possible via traditional means. Various incentivization schemes for crowdsensing in general have been proposed, but there are characteristics specific to the health ...
Luis G. Jaimes, Robert Steele
openaire   +1 more source