Results 191 to 200 of about 1,414,604 (271)
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Secure mobile crowdsensing game
2015 IEEE International Conference on Communications (ICC), 2015By 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 +3 more
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Offloading Surrogates Characterization via Mobile Crowdsensing
Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications, 2017This 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 +2 more
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IEEE Transactions on Mobile Computing
Mobile Crowdsensing (MCS) has emerged as a promising sensing paradigm for accomplishing large-scale tasks by leveraging ubiquitously distributed mobile workers.
Jingpo Bai +5 more
semanticscholar +1 more source
Mobile Crowdsensing (MCS) has emerged as a promising sensing paradigm for accomplishing large-scale tasks by leveraging ubiquitously distributed mobile workers.
Jingpo Bai +5 more
semanticscholar +1 more source
IEEE Transactions on Mobile Computing
Time-series data is crucial for the development of mobile crowdsensing (MCS). Participant’s privacy is one of the major concerns because MCS data often contain sensitive individual information.
Zhetao Li +5 more
semanticscholar +1 more source
Time-series data is crucial for the development of mobile crowdsensing (MCS). Participant’s privacy is one of the major concerns because MCS data often contain sensitive individual information.
Zhetao Li +5 more
semanticscholar +1 more source
When Mobile Crowdsensing Meets Privacy
IEEE Communications Magazine, 2019Mobile crowdsensing (MCS) has now become an effective paradigm to collect massive data for various sensing applications. However, the interactions between mobile users and the platform, and the data release to third parties, pose severe challenges of privacy leakage for MCS systems, such as the leakage of users' identities and locations.
Zhibo Wang +6 more
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Privacy-Preserving User Recruitment With Sensing Quality Evaluation in Mobile Crowdsensing
IEEE Transactions on Dependable and Secure ComputingRecruiting users in mobile crowdsensing (MCS) can make the platform obtain high-quality data to provide better services. Although the privacy leakage during the process of user recruitment has received a lot of research attention, none of the existing ...
Jieying An +7 more
semanticscholar +1 more source
Smart Parking by Mobile Crowdsensing
International Journal of Smart Home, 2016An increasing number of mobile applications aim to realize “smart cities” by utilizing contributions from citizens armed with mobile devices like smartphones. However, there are few generally recognized guidelines for developing and deploying crowdsourcingbased solutions in mobile environments.
Xiao Chen, Nianzu Liu
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An Optimal Reverse Affine Maximizer Auction Mechanism for Task Allocation in Mobile Crowdsensing
IEEE Transactions on Mobile ComputingMobile crowdsensing service (MCS) providers recruit users to complete data collection tasks with an incentive mechanism. How to maximize the utility of service providers has long been a popular topic in MCS research. Applying the existing reverse auction
Jixian Zhang +4 more
semanticscholar +1 more source
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 +3 more
semanticscholar +1 more source
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 +3 more
semanticscholar +1 more source
AoI-Guaranteed Incentive Mechanism for Mobile Crowdsensing With Freshness Concerns
IEEE Transactions on Mobile ComputingWith the explosive spread of smart mobile devices, Mobile CrowdSensing (MCS) has been becoming a promising paradigm, by which a platform can coordinate a group of workers to complete large-scale data collection tasks using their mobile devices.
Yin Xu +5 more
semanticscholar +1 more source