Results 201 to 210 of about 5,841 (261)

Density-aware compressive crowdsensing

Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017
Crowdsensing systems collect large-scale sensor data from mobile devices to provide a wide-area view of phenomena including traffic, noise and air pollution. Because such data often exhibits sparse structure, it is natural to apply compressive sensing (CS) for data sampling and recovery.
Xiaohong Hao, Liwen Xu, Nicholas D. Lane, Xin Liu 0002, Thomas Moscibroda   +4 more
openaire   +1 more source

Location Privacy Preservation Crowdsensing With Federated Reinforcement Learning

IEEE Transactions on Dependable and Secure Computing
Crowdsensing has become a popular method of sensing data collection while facing the problem of protecting participants’ location privacy. Existing location-privacy crowdsensing mechanisms focus on static tasks and participants without considering ...
Zhichao You, Xuewen Dong, Ximeng Liu, Sheng Gao, Yongzhi Wang, Yulong Shen   +5 more
semanticscholar   +1 more source

Joint Sensing and Computation Incentive Mechanism for Mobile Crowdsensing Networks: A Multiagent Reinforcement Learning Approach

IEEE Internet of Things Journal
Mobile crowdsensing (MCS) is a novel sensing paradigm by utilizing mobile users (MUs) to collect data from environment. Considering the finite sensing and computing resources of MUs, it is crucial to inspire MUs to take part in crowdsensing willingly. In
Nan Zhao, Yiling Sun, Yiyang Pei, Dusist Niyato   +3 more
semanticscholar   +1 more source

Unknown Worker Recruitment With Long-Term Incentive in Mobile Crowdsensing

IEEE Transactions on Mobile Computing
Many mobile crowdsensing applications require efficient recruitment of workers whose qualities are often unknown a priori. While prior research has explored multi-armed bandit-based mechanisms with short-term incentives to address this unknown worker ...
Qihang Zhou, Xinglin Zhang, Zheng Yang
semanticscholar   +1 more source

Privacy-Preserving Truth Discovery Based on Secure Multi-Party Computation in Vehicle-Based Mobile Crowdsensing

IEEE transactions on intelligent transportation systems (Print)
Vehicle-based mobile crowdsensing has gained widespread attention due to its low cost and efficient data collection mode. One common method to improve the accuracy of sensing data in this context is truth discovery.
Tao Peng, Wentao Zhong, Guojun Wang, Entao Luo, Shui Yu, Yining Liu, Yi Yang, Xuyun Zhang   +7 more
semanticscholar   +1 more source

Secure mobile crowdsensing game

2015 IEEE International Conference on Communications (ICC), 2015
By recruiting sensor-equipped smartphone users to report sensing data, mobile crowdsensing (MCS) provides location-based services such as environmental monitoring. However, due to the distributed and potentially selfish nature of smartphone users, mobile crowdsensing applications are vulnerable to faked sensing attacks by users who bid a low price in ...
Liang Xiao 0003, Jinliang Liu 0002, Qiangda Li, H. Vincent Poor   +3 more
openaire   +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, Fabián E. Bustamante
openaire   +1 more source

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

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