WP.4, leaded by UNIRM, has the goal of validating, testing and assessing methodologies and technological developments provided by the GAUChO project in WP.1-WP.3 on real-world relevant and challenging testbeds. In particular, the GAUChO project focuses on two relevant application scenarios namely: the Connected Vehicles (CV) in task T4.1 and Intelligent Environmental Monitoring (IEM) in task T4.2. In more details, WP4 has the goal of evaluating the outcomes of WP1-WP3 for what concerns: i) the definition of efficient communication and networking methodologies (WP1) in order to enable an efficient and functional integration of FN capabilities with specific FC requirements, while reducing the overall energy consumption, with both fixed and mobile devices; ii) Definedthe investigation of energy-efficient and location-aware computing methodologies within an integrated FC/FN scenario (WP2); iii) Designed methodologies proposal of intelligent distributed mechanisms (WP3) to optimally deal with complex applications in order to carry out optimal energy management; assess the quality of incoming data to identify erroneous fault-affected sensors/end devices; track the evolution of the environment through adaptation mechanisms and define suitable intelligent privacy and security techniques proper for the GAUChO platform. As a consequence, in order to show the validity and immediate applicability of what proposed in the GAUChO project, WP4 foresees the following activities:

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. 

 

last update: 16-Feb-2017