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Jump-start crowdsensing: A three-layer incentive framework for mobile crowdsensing
2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS), 2017In the past decade, with the rapid development of wireless communication and sensor technology, ubiquitous smartphones equipped with increasingly rich sensors have more powerful computing and sensing abilities. Thus, mobile crowdsensing has received extensive attentions from both industry and academia.
Yatong Chen +4 more
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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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Mobile Crowdsensing with Mobile Agents: JAAMAS Extended Abstract
International Joint Conference on Autonomous Agents and Multiagent Systems, 2016Mobile crowdsensing applications can be designed as multi-agent systems with campaign-specific roles, realized as mobile agents, and role-based interactions. Mobile agents facilitate decentralized and autonomous crowdsesing campaign execution that takes into account dynamic resource availability in the system.
Teemu Leppänen +4 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
Emanuel Lima +2 more
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Preserving privacy in mobile crowdsensing
International Journal of Sensor Networks, 2022Bayan Hashr Alamri +4 more
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Mobile Crowdsensing with Imagery Tasks
IEEE/WIC/ACM International Conference on Web Intelligence, 2021Justas Dautaras, Mihhail Matskin
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Sensing Interpolation Strategies for a Mobile Crowdsensing Platform
2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2017Mobile Crowd Sensing (MCS) allows an efficient collection of heterogeneous data over large areas, leveraging on the cooperation of MCS subscribers that offer services on their smartphones to this purpose. However, the coverage that a MCS platform can provide for a given area depends on the availability of subscribers and on their mobility in that area.
Michele Girolami +4 more
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Sparse Mobile Crowdsensing: Components and Frameworks
2022 IEEE World AI IoT Congress (AIIoT), 2022Urvi Goel +4 more
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A comprehensive survey on mobile crowdsensing systems
Journal of Systems Architecture, 2023Deepika Suhag, Vivekanand Jha 0001
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