Sentence examples for crowd sensing applications from inspiring English sources

To achieve good service quality for crowd sensing applications, incentive mechanisms are indispensable to attract more participants to guarantee long-term extensive user participation.

Thus, how to tackle long-term extensive user participation occurring in practical crowd sensing applications with the coverage constraint becomes peculiarly challenging.

Following the existing trends, we are motivated to propose a fog computing based scheme, called MIST (i.e. a cloud near the earth's surface with lesser density than fog), to support crowd sensing applications in the context of IoT.

Although, fog computing, by providing elastic resources and services to end users at the edge of network, emerges as a promising solution, but the upsurge of novel social applications such as crowd sensing has fostered the need for scalable cost-efficient platforms that can enable distributed data analytics, while optimizing the allocation of resources and minimizing the response time.

Recently, online outlier detection within data streams has attracted attention in many constrained emerging applications, such as mobile crowd sensing, mobile activity recognition, ITS, and mobile healthcare [21].

Mobile Crowd Sensing (MCS) is a novel class of Internet of Things applications which exploits the inherent mobility of wearable sensors and mobile devices to observe phenomena of common interest, typically over large geographical areas (e.g. traffic conditions, air pollution, noise in urban areas).

On the other hand, many smart city and cyber-physical system (CPS) applications and systems (such as vehicular networks [7, 8] and urban crowd sensing [9, 10]) heavily rely on accuracy location information.

Incentive is crucial to the success of mobile crowd sensing (MCS) systems.

The system utilizes crowd sensing to collect and build a traffic signpost database for positioning reference.

distributed control and sensing applications.

The crowd, sensing the symbolism, cheered loudly.