WP.4 "Applications Issues and Validation"
Task T4.1 aims at integrating and validating all the methodologies developed in WP1-WP3 in the CV scenario for which devices mobility is a main concern. In particular, the CV application refers to the new vehicular situation-aware paradigm, characterized by multiple virtual communities of vehicular clients equipped with energy-limited devices that share, in a real-time manner, suitably processed context-aware information about the surrounding environment. A suitable test and evaluation campaign will be designed and carried out in order to validate its behavior by simulating actual environments for both the FC and FN level. Figures of merit meant to evaluate the GAUChO platform in a CV scenario will be defined accordingly.
Task T4.2 deals with the validation and testing of the GAUChO platform in the case of IEM scenarios. Here, smart sensing devices are deployed within an environment to monitor a physical phenomenon of interest. These IEM systems rely on the jointly designed FC/FN architecture characterizing the GAUChO project, exploit the intelligent mechanisms and communication methodologies developed within the project and acting at the device, at the FC clusters and FN layer. Intelligence is here refers to the detection of changes affecting the system-environment interaction as well as distinguishing between time-variance of the environment and faults/malfunctioning/ageing affecting the sensors/devices of the IEM (that generally operate in harsh environmental conditions). Intelligent mechanisms must exploit spatial and temporal relationships present in the acquired datastreams proper of the FC framework. As a challenging testbed scenario, T4.2 will focus on the relevant and challenging application scenario of rock-collapse and landslide forecasting by also taking advantage of the deployments made by POLIMI on the Alps. The subsequent validation phase of the GAUChO research methodologies and designed tools will be carried out in terms of effectiveness (accuracy, efficiency (low-latency) and energy-efficiency figures of merit.