Web Services Description and Discovery for Mobile Crowdsensing

Abstract

The rapid growth of sensor-enabled smartphone is driven phenomena of common interest to be observed while leveraging people mobility and their sensory data collection. This paradigm known as mobile crowdsensing has demonstrated its efficiency in data collection over the last years, enabling the monitoring of traffic, pollution, people density and more. However, it stills pose interesting challenges, with particular regard to the management of collected data, dealing with their presentation and standardization in an interoperable infrastructure. Current visions of future crowdsensing systems share common goal of integrating those data into powerful real time web services accessible and discoverable via the web. In this paper the authors dig into this axis and define several criteria that allow succeeding it. They pay particular attention to semantic description and discovery techniques and evaluate proposed approaches by defining their strengths and shortcomings. The authors also propose guidelines for future researches.