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Cooperative Computing for Mobile Crowdsensing: Design and Optimization
IEEE Transactions on Mobile ComputingWith the increasing number of mobile devices, mobile crowdsensing (MCS) has garnered significant attention in research. However, computing infrastructures such as edge/cloud nodes, which are necessary for processing sensor data, are not always readily ...
Xin Xie +4 more
semanticscholar +1 more source
Decentralized and Compressed Data Storage for Mobile Crowdsensing
IEEE Transactions on Mobile ComputingSensing data acquired with crowdsensing are generally stored at central cloud servers, since massive data are involved and sensing devices do not have enough space to store them.
Siwang Zhou +4 more
semanticscholar +1 more source
Lightweight and Privacy-Preserving Dual Incentives for Mobile Crowdsensing
IEEE Transactions on Cloud ComputingIncentive plays an important role in mobile crowdsensing (MCS), as it impels mobile users to participate in sensing tasks and provide high-quality sensing data.
Lin Wan +6 more
semanticscholar +1 more source
Preserving privacy in mobile crowdsensing
International Journal of Sensor Networks, 2022Iftikhar Ahmad +4 more
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QUEST: Quality-informed Multi-agent Dispatching System for Optimal Mobile Crowdsensing
IEEE Conference on Computer CommunicationsWe address the challenges in achieving optimal Quality of Information (QoI) for non-dedicated vehicular Mobile Crowdsensing (MCS) systems, by utilizing vehicles not originally designed for sensing purposes to provide real-time data while moving around ...
Zuxin Li +6 more
semanticscholar +1 more source
Trajectory Privacy Protection Method Based on Differential Privacy in Crowdsensing
IEEE Transactions on Services ComputingWith the widespread popularity of smartphones, watches, and other devices, mobile crowd sensing has garnered significant public attention. Application service providers publish crowd sensing tasks, and users actively participate in collecting relevant ...
Qiong Zhang +5 more
semanticscholar +1 more source
Enhancing Sparse Mobile CrowdSensing With Manifold Optimization and Differential Privacy
IEEE Transactions on Information Forensics and SecuritySparse Mobile CrowdSensing (SMCS) effectively lowers sensing costs while maintaining data quality, offering an alternative approach to data collection. Unfortunately, the fact that data contain sensitive information raises serious privacy concerns. Local
Chengxin Li +5 more
semanticscholar +1 more source
2019
Recently, new paradigms like crowdsensing emerged in the context of mobile technologies that promise to support researchers in life sciences and the healthcare domain in a new way. For example, by the use of smartphones, valuable data can be quickly gathered in everyday life and then easily compared to other crowd users, especially when taking ...
openaire +1 more source
Recently, new paradigms like crowdsensing emerged in the context of mobile technologies that promise to support researchers in life sciences and the healthcare domain in a new way. For example, by the use of smartphones, valuable data can be quickly gathered in everyday life and then easily compared to other crowd users, especially when taking ...
openaire +1 more source