INLIFE will provide an innovative gamification framework targeting both typical as well as special education and social inclusion activities based on Serious Games. INLIFE’s core concept leverages on the potential of the Internet-of-Things (IoT) paradigm to directly link actions, decisions and events happening in real-life with in-game educational progress and modern gaming technologies. This bridge strengthens the infusion of gamification into non-leisure contexts, boosting at the same time the creation of new educational methodologies as well as new business opportunities. The challenge INLIFE addresses is to effectively join the forces of gaming industries, IoT technologies and social science research outcomes to support the development of creative and effective applications in education and for social inclusion. The INLIFE framework will be based on an open, layered architecture, consisting of modules supporting agile abstraction methods, model-driven development and transformation technologies, as well as state-of-the-art gaming and human-computer interaction techniques. It will enable the bidirectional, real time communication between the serious game and the surrounding environment, bringing the player in the center of the game while living the reality. The INLIFE technologies, tools and software solutions will be validated in four carefully set pilots through the integration and demonstration of two selected serious games, one for the education of children and students on environmental sustainability and one targeted at assisting children with autism to learn, thus facilitating their social inclusion. The realization of the INLIFE vision will ultimately pave the way for the proliferation of new innovative IoT-based serious games, created also by third parties, featuring enhanced gameplays and educational efficacy, thus establishing new market opportunities for involved stakeholders.

One of the main problems the CPS designers face is “the lack of simulation tools and models for system design and analysis”. This is mainly because the majority of the existing simulation tools for complex CPS handle efficiently only parts of a system while they mainly focus on the performance. Moreover, they require extreme amounts of processing resources and computation time to accurately simulate the CPS nodes’ processing. Faster approaches are available, however as they function at high levels of abstraction, they cannot provide the accuracy required to model the exact behavior of the system under design so as to guarantee that it meets the requirements in terms of performance and/or energy consumption. The COSSIM project will address all those needs by providing an open-source framework which will a) seamlessly simulate, in an integrated way, both the networking and the processing parts of the CPS, b) perform the simulations orders of magnitude faster, c) provide much more accurate results especially in terms of power consumption than existing solutions, d) report more CPS aspects than any existing tool including the underlying security of the CPS. COSSIM will achieve the above by developing a novel simulator framework based on a processing simulation sub-system (i.e. a “full-system simulator”) which will be integrated with a novel network simulator. Furthermore, innovative power consumption and security measurement models will be developed and incorporated to the end framework. On top of that, COSSIM will also address another critical aspect of an accurate CPS simulation environment: the performance as measured in required simulation time. COSSIM will create a framework that is orders of magnitude faster, while also being more accurate and reporting more CPS aspects, than existing solutions, by applying hardware acceleration through the use of field programmable gate arrays (FPGAs), which have been proven extremely efficient in relevant tasks.