Truth discovery techniques are commonly used in mobile crowd sensing (MCS) applications
to infer accurate aggregated results based on quality-aware data aggregation. However, the …

WSNs are growing rapidly around the world as the adoption of low-cost sensors allowed to
make WSN in use for various environmental monitoring applications. Critical applications …

Abstract Mobile Crowd Sensing (MCS) is an emerging paradigm, it engages ordinary mobile
device users to effectively contribute sensed data using mobile applications. The unique …

Crowd-sensing enables to collect a vast amount of data from the crowd by allowing a wide
variety of sources to contribute data. However, the openness of crowd-sensing exposes the …

Thanks to the agility and mobility features, unmanned aerial vehicles (UAVs) have been
applied for a wide range of civil and military missions. To remotely control and monitor …

In recommendation systems, global positioning, system identification and mobile social
networks, it is a fundamental routine that a server completes a low-rank matrix from an …

A Sketch is an excellent probabilistic data structure, which records the approximate statistics
of data streams. Linear additivity is an important property of sketches. This paper studies …

Crowdsourcing has emerged as an important data collection paradigm in participatory and
human-centric sensing applications. While many crowdsourcing studies focus on sensing …

Data recovery techniques such as compressive sensing are commonly used in mobile
crowdsensing (MCS) applications to infer the information of unsensed regions based on …

Nowadays, vehicles have shown great potential in crowdsensing. To guarantee a good
Quality of Service (QoS), stimulating enough vehicles to participate in crowdsensing is very …