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Using On-the-Move Mining for Mobile Crowdsensing
2012 IEEE 13th International Conference on Mobile Data Management, 2012In this paper, we propose and develop a platform to support data collection for mobile crowdsensing from mobile device sensors that is under-pinned by real-time mobile data stream mining. We experimentally show that mobile data mining provides an efficient and scalable approach for data collection for mobile crowdsensing.
Wanita Sherchan +5 more
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Preserving privacy in mobile crowdsensing
International Journal of Sensor Networks, 2022Bayan Hashr Alamri +4 more
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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 0001 +4 more
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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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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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Mobile Crowdsensing with Imagery Tasks
IEEE/WIC/ACM International Conference on Web Intelligence, 2021Justas Dautaras, Mihhail Matskin
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Selection of Mobile Edges for a Hybrid CrowdSensing Architecture
2019 IEEE Symposium on Computers and Communications (ISCC), 2019Mobile crowdsensing aims at the collection of sensor data on the environment by leveraging personal devices, usually smartphones. Its popularity is due to the ability of reaching capillary even the most remote areas (provided humans live there), with no infrastructure costs.
Dimitri Belli +5 more
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A Stack4Things-based platform for mobile crowdsensing services
2016 ITU Kaleidoscope: ICTs for a Sustainable World (ITU WT), 2016© 2016 International Telecommunication Union.As mobiles grow pervasive in people's lives and expand their reach, Mobile CrowdSensing (MCS) and similar paradigms are going to play an ever more prominent role. There is a pressing need then to ease developers and service providers in embracing the opportunity, and that means offering a platform for such ...
DISTEFANO, SALVATORE +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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