Towards urban mobile sensing as a service: an experience from southern Italy

Abstract

A considerable amount of research activities deals with Internet of Things and Smart Cities, by leveraging the continuously growing usage of cloud computing solutions and mobile devices. The pervasivity of mobiles also enables the Mobile Crowd Sensing paradigm, which aims at using mobile-embedded sensors to ease the monitoring of multiple phenomena. The combination of these elements has recently converged into a new sensing model: Sensing as a Service (S2aaS), which is expected to offer novel monitoring approaches in the next years. In this paper, we propose a platform to pave the way for applying S2aaS in urban scenarios by considering both noise and electromagnetic field exposure. Design and implementation choices are discussed, along with privacy-related issues and preliminary monitoring tests conducted at a city in Southern Italy, in order to demonstrate the suitability of our approach.