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Offloading Surrogates Characterization via Mobile Crowdsensing

Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications, 2017
This 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
openaire   +2 more sources

Browser-enabled distributed crowdsensing

2017 4th Experiment@International Conference (exp.at'17), 2017
Mobile Crowdsensing is often used for involving large number of persons in distributed sensing experiments. In some cases, (e.g., online games, online sensing of sensitive data, etc.) privacy and security issues arise. Peer-to-peer networks can be effectively used to guarantee anonymity and solve the above mentioned issues.
Bochicchio, Mario A.   +4 more
openaire   +1 more source

Incentivization for Health Crowdsensing

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2017
Crowdsensing in the case of health-related information can enable a new mode of health data collection, able to collect more detailed and real-world health and physiological data than possible via traditional means. Various incentivization schemes for crowdsensing in general have been proposed, but there are characteristics specific to the health ...
Luis G. Jaimes, Robert Steele
openaire   +1 more source

Crowdsensing smart city parking monitoring

2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), 2015
Free parking search is one of the citizen's daily tasks which influences the most in the overall city performance. Pollution, traffic and productivity are deteriorated by cars looking for a place to park. In this paper, we propose the use of one of the features present in today's mobile phones, the magnetometer, to get a real-time map about free spaces
Felix Jesus Villanueva   +4 more
openaire   +1 more source

When Mobile Crowdsensing Meets Privacy

IEEE Communications Magazine, 2019
Mobile 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
openaire   +1 more source

Smart Parking by Mobile Crowdsensing

International Journal of Smart Home, 2016
An 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
openaire   +1 more source

Posted pricing for robust crowdsensing

Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016
Mobile crowdsensing has been considered as a promising approach for large scale urban data collection, but has also posed new challenging problems such as incentivization and quality control. Among the other incentivization approaches, posted pricing has been widely adopted by commercial systems due to the reason that it naturally achieves truthfulness
Kai Han, He Huang, Jun Luo
openaire   +1 more source

Crowdsensing

2020
Weili Wu   +3 more
openaire   +2 more sources

Crowdsensing Simulation Using ns-3

2013
A crowdsensing network is a sensor network in which sensors are users that sense the environment and send the obtained data using, for instance, their smartphones. The performance of such sensor networks depends heavily on the mobility of the users and their willingness to collaborate.
Cristian Tanas   +1 more
openaire   +1 more source

Preserving privacy in mobile crowdsensing

International Journal of Sensor Networks, 2022
Iftikhar Ahmad   +4 more
openaire   +1 more source

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