CSVM: uma plataforma para CrowdSensing Móvel Dirigida por Modelos em Tempo de Execução

• Paulo Melo UFG
• Fábio Costa UFG
• Ricardo da Rocha UFG

DOI: https://doi.org/10.5753/sbcup.2015.10173

Resumo

The complexity of applications in the mobile CrowdSensing domain is assiciated with factors such as interoperability among heterogeneous devices, identification and collevtion of data from these devices and adaptation of their use in dynamic environments. This paper introduces a platform based on models at runtime (M@RT) for the construction of mobile crowdsensing applications. the platform supports model-based creation and processing of queries directed to a distributed and dynamic set of sensor-capable devices. The paper presents the results of a performance evalutation that shows the impact of model processing in scenarios of mobile crowdsensing.

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