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The paper approaches an emergent field of the information and communications technologies (ICT), the Internet of things (IoT). ICT development optimization, as the driving force of the information society (IS) toward knowledge based society (KBS), due to IoT expansion consequences, is analyzed. The paper analyses are focused on the emergence and challenges of the Internet of Things. Consequently, IoT is associated with the Internet World, in fact our today World, where everything is going to be connected with everything, by the information flood , IoT being a combination of practically infinite informational (usually wireless) links and things (from books to cars, from electrical appliances to food). This paper estimation is confirmed and detailed through further definitions and analyses, based on references as EU and ITU reports, as a natural approach of the emergence and challenges of the Internet of Things. Paper analyses also presents the implications of the ever-changing issues of IS/KBS, which have to be analyzed, but more exactly continuously re-considered, on an updated/ regularly basis and with adequate instruments, criteria and resources. This way the paper shows that , the real complications, a „challenge” for the necessary new models and algorithms, come in the complex phases of processing data to extract information and then analyze information to refine knowledge finally used to take ... decisions at ... Earth scale! Starting from a Harvard University pilot project of tracking the global warming consequences on university green (trees) ecosystem by a local area network of sensors, the paper proposes to further analyze what should we must do in order to extend and generalize the pilot objectives to IS/KBS at Earth scale, but more than this, to identify which would be the equivalent of trees, then forest and then ... Internet! The paper main conclusion is that the solution of the above challenges could be given by considering the fundamental issues of refining knowledge, i.e. to dynamically analyze (on a check and act basis) all the data, in the data deluge of ICT/IoT, but such an approach will not efficiently work, because too much data will block our control systems of decisions, unless adequate criteria for systemic analyze and knowledge refining will be identified. |
