Results 21 to 30 of about 1,427,497 (206)
Towards Personalized Task-Oriented Worker Recruitment in Mobile Crowdsensing
, 2022 Worker recruitment in mobile crowdsensing systems aims to recruit the most suitable users to perform tasks with high quality and in real-time. Many worker recruitment or task matching mechanisms have been proposed, especially for crowdsourcing platforms,
Wang, Z +6 more
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Sensors, 2021 Crowdsensing offers a cost-effective way to collect large amounts of environmental sensor data; however, the spatial distribution of crowdsensing sensors can hardly be influenced, as the participants carry the sensors, and, additionally, the quality of ...
Matthias Hirth +4 more
doaj +1 more source
A willingness-aware user recruitment strategy based on the task attributes in mobile crowdsensing
International Journal of Distributed Sensor Networks, 2022 With the powerful sensing, computing capabilities of mobile devices, large-scale users with smart devices throughout the city would be the perfect carrier for the people-centric scheme, namely, mobile crowdsensing.
Yang Liu +4 more
doaj +1 more source
A Reputation-Based Collaborative User Recruitment Algorithm in Edge-Aided Mobile Crowdsensing
Applied Sciences, 2023 Mobile CrowdSensing (MCS) has become a convenient method for many Internet of Things (IoT) applications in urban scenarios due to the full utilization of the mobility of people and the powerful capabilities of their intelligent devices.
Yang Liu +4 more
doaj +1 more source
MOBILE CROWDSENSING FRAMEWORK FOR ROAD SURFACE QUALITY DETECTION. [PDF]
International Journal of Intelligent Computing and Information Sciences, 2021 Smartphones became ubiquitous and are used by so many people, at least to know the driving directions to their destination. Smartphones come with rich embedded sensors (e.g., GPS, accelerometer, and camera) as well as built-in radios (e.g., Bluetooth, Wi-
Karim Emara +3 more
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An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation
IEEE Access, 2019 With the widespread use of smartphones and the continuous increase of their capabilities, a new sensing paradigm has emerged: mobile crowdsensing. The concept of crowdsensing implies the reliance on the crowd to perform sensing tasks and collect data ...
Sawsan Abdul Rahman +2 more
doaj +1 more source
On the data quality in privacy-preserving mobile crowdsensing systems with untruthful reporting [PDF]
, 2019 The proliferation of mobile smart devices with ever improving sensing capacities means that human-centric Mobile Crowdsensing Systems (MCSs) can economically provide a large scale and flexible sensing solution.
McCann, Julie Ann +2 more
core +1 more source
Near-Optimal User Recruitment in Mobile Crowdsensing for Urban Fine-Grained Event Detection
IEEE Access, 2020 Thanks to the popularization of mobile smart devices equipped with various sensors like smartphones, the concept of mobile crowdsensing has come forth as a promising data collecting paradigm.
Tong Liu +3 more
doaj +1 more source
An Efficient Target Tracking Approach Through Mobile Crowdsensing
IEEE Access, 2019 As the widespread of mobile devices in recent years, mobile crowdsensing (MCS) has become a powerful mechanism to produce knowledge by collecting the individual contributed sensor data.
Dongming Luan +5 more
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Detecting Mobile Crowdsensing Context in the Wild [PDF]
2019 20th IEEE International Conference on Mobile Data Management (MDM), 2019 Understanding the sensing context of raw data is crucial for assessing the quality of large crowdsourced spatio-temporal datasets and supporting context-augmented personal trajectories. Detecting sensing contexts in the wild is a challenging task and requires features from smartphone sensors that are not always available.
Agarwal, Rachit +4 more
openaire +2 more sources