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Quality of information in mobile crowdsensing: Survey and research challenges
Smartphones have become the most pervasive devices in people's lives and are clearly
transforming the way we live and perceive technology. Today's smartphones benefit from …
transforming the way we live and perceive technology. Today's smartphones benefit from …
Mobile crowd sensing–taxonomy, applications, challenges, and solutions
Recently, mobile crowd sensing (MCS) is captivating growing attention because of their
suitability for enormous range of new types of context-aware applications and services. This …
suitability for enormous range of new types of context-aware applications and services. This …
A survey on security, privacy, and trust in mobile crowdsourcing
With the popularity of sensor-rich mobile devices (eg, smart phones and wearable devices),
mobile crowdsourcing (MCS) has emerged as an effective method for data collection and …
mobile crowdsourcing (MCS) has emerged as an effective method for data collection and …
Cost-and-quality aware data collection for edge-assisted vehicular crowdsensing
In view of the rapid development of edge computing and vehicular network, edge-assisted
vehicular crowdsensing system has brought significant benefits to Intelligent Transportation …
vehicular crowdsensing system has brought significant benefits to Intelligent Transportation …
Steering crowdsourced signal map construction via Bayesian compressive sensing
Mobile crowdsensing with increasing pervasiveness of smartphones has enabled a myriad
of applications, including urban-scale signal map monitoring and revision. Despite the …
of applications, including urban-scale signal map monitoring and revision. Despite the …
A method for sensor-based activity recognition in missing data scenario
Sensor-based human activity recognition has various applications in the arena of
healthcare, elderly smart-home, sports, etc. There are numerous works in this field—to …
healthcare, elderly smart-home, sports, etc. There are numerous works in this field—to …
A cost-quality beneficial cell selection approach for sparse mobile crowdsensing with diverse sensing costs
The Internet of Things (IoT) and mobile techniques enable real-time sensing for urban
computing systems. By recruiting only a small number of users to sense data from selected …
computing systems. By recruiting only a small number of users to sense data from selected …
Truth discovery in sequence labels from crowds
Annotation quality and quantity positively affect the learning performance of sequence
labeling, a vital task in Natural Language Processing. Hiring domain experts to annotate a …
labeling, a vital task in Natural Language Processing. Hiring domain experts to annotate a …
Learning-assisted optimization in mobile crowd sensing: A survey
Mobile crowd sensing (MCS) is a relatively new paradigm for collecting real-time and
location-dependent urban sensing data. Given its applications, it is crucial to optimize the …
location-dependent urban sensing data. Given its applications, it is crucial to optimize the …
Discovering pollution sources and propagation patterns in urban area
Air quality is one of the most important environmental concerns in the world, and it has
deteriorated substantially over the past years in many countries. For example, Chinese …
deteriorated substantially over the past years in many countries. For example, Chinese …