ARATOS: An Intelligent Machine-to-Machine Framework for Services Based on Satellite Earth Observation Data

This paper presents ARATOS, an intelligent machine-to-machine framework for the provision of seamless services to remote end-users over Next Generation Networks (NGNs) without human intervention as well as services interruption. The provided services are based on information derived from captured satellite Earth Observation data. ARATOS framework takes advantages of the convergence of Machine-to-Machine technology and Multi-Agent technology in order to overcome the issues raised because of its heterogeneous, complicated and dynamic nature. Machine-to-Machine technology is applied to address interoperability issues raised between the communicating machine domains. Additionally, Machine-to-Machine technology provides communication facilities between the domains according to human behavior approach of communication. Furthermore, Multi-Agent technology is used for the management of the huge quantities of the captured Earth Observation data and for their efficient on-demand processing. The on-demand processing leads to the provision of services tailored to the needs, interests and preferences of the end-user.