MC^2S: a Mobile Component-based CrowdSensing framework

Abstract

CrowdSensing often refers to sharing data collected by sensing devices with the aim of measure a phenomena of common interest. Within this thesis we will describe MC^2S, a novel Component-based framework suitable for the easy development of multiple, secure, portable, interopeable and concurrent MCS applications. The framework has been built in collaboration between University of Pisa and Trinity College Dublin, starting from September 2015. It exploits both Apache Felix implementation of OSGi framework specifications to ensure composite applications and Java environment to guarantee portability over an huge range of heterogeneous hardaware. However, even if MC^2S framework already offers several forefront capabilities, a lot of additional features may be introduced during the development of its next versions