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Incentive Mechanism for Socially-Aware Mobile Crowdsensing: A Bayesian Stackelberg Game
Incentive mechanisms are pivotal in encouraging mobile users to participate to contribute their sensing information. However, most studies on...
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Online Task Allocation in Mobile Crowdsensing with Sweep Coverage and Stability Control
Mobile crowdsensing (MCS) harnesses the sensing capabilities of sensors built into a large number of smart devices to collect and analyze data, which...
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Distributed Game-Theoretical D2D-Enabled Task Offloading in Mobile Edge Computing
Mobile edge computing (MEC) has been envisioned as a promising distributed computing paradigm where mobile users offload their tasks to edge nodes to...
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Location Differential Privacy Protection in Task Allocation for Mobile Crowdsensing Over Road Networks
Mobile Crowdsensing (MCS) platforms often require workers to provide their locations for task allocation, which may cause privacy leakage. To protect...
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Equitable Valuation of Crowdsensing for Machine Learning via Game Theory
In the era of mobile Internet, it has became easier to obtain personal data through crowdsensing platforms, which promotes the development of...
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Crowdsensing Close-Range Photogrammetry for Accurately Reconstructing a Digital Twin of a Cultural Heritage Building Using a Smartphone and a Compact Camera
The development of user-friendly and cost-effective survey technologies is critical in the protection and preservation of cultural heritage...
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An Efficient and Truthful Online Incentive Mechanism for a Social Crowdsensing Network
Crowdsening plays an important role in spatiotemporal data collection by leveraging ubiquitous smart devices equipped with sensors. Considering...
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Mobile Crowdsourcing Task Offloading on Social Collaboration Networks: An Empirical Study
Mobile Crowdsourcing (MCS), a human-centric promising paradigm for performing location-based tasks, has drawn rising attention from both academia and...
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PAID: Privacy-Preserving Incentive Mechanism Based on Truth Discovery for Mobile Crowdsensing
Incentive mechanisms are an essential method to encourage users to participate in the mobile crowdsensing task. However, most incentive mechanisms...
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Max-Min Fairness Multi-task Allocation in Mobile Crowdsensing
Mobile Crowdsensing (MCS) has become a new paradigm of collecting and merging a large number of sensory data by using rich sensor-equipped mobile...
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CBSC: A Crowdsensing System for Automatic Calibrating of Barometers
The mobile crowdsensing software systems can complete large-scale and complex sensing tasks with the help of the collective intelligence from large...
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Robust load-balanced backbone-based multicast routing in mobile opportunistic networks
Mobile opportunistic network (MON) is an efficient way of communication when there is no persistent connection between nodes. Multicast in MONs can...
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A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices
Along with the process of urbanization and mechanization, environmental pollution is becoming more and more serious all over the world. To this end,...
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A Reliable Multi-task Allocation Based on Reverse Auction for Mobile Crowdsensing
Mobile crowdsensing (MCS) has been widely studied with the popularization of mobile intelligent devices, while a large number of sensing data can be...
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User Grou** Privacy-Preserving Strategy Based on Edge Computing for Mobile Crowdsensing
At present, the data information is uploaded to the platform by a large number of users in mobile crowdsensing, which can be processed in the sensing...
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Mobile Crowdsensing
Supported by the large quantity of mobile devices embedded with rich sensors, Mobile Crowdsensing (MCS) leverages these devices to sense and...
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Unknown Worker Recruitment in Mobile Crowdsourcing
Mobile CrowdSourcing (MCS) has emerged as a cheap yet effective paradigm by which a platform can recruit a group of mobile workers to jointly...