## 6 Discussion and Conclusions
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Authors** & **Investigated/Signaled Problem** & \begin{tabular}{c} **Possible Future Frameworks** \\ **to Solve the Problems** \\ **Presented in the Literature** \\ \end{tabular} & \begin{tabular}{c} **Author’s Proposal to Solve the Problems** \\ **Problems** \\ \end{tabular} \\ \hline \multirow{4}{*}{\begin{tabular}{c} [PERSON], [PERSON] \& \\ [PERSON] [4] \\ \end{tabular} } & The most significant challenge, when managing IoT networks in which uncertainty is an integral component, is to change uncertainty in accordance with the changes in social needs on which the functioning of IoT networks is based. & \begin{tabular}{c} **A key challenge in this area is** \\ therefore the organization of the process of such changes. \\ foresight research methods. \\ \end{tabular} & \begin{tabular}{c} **The organization of the process of changes in social needs can take place through anticipatory systems, based on selected foresight research methods.** \\ \end{tabular} \\ \hline \multirow{4}{*}{\begin{tabular}{c} [PERSON] [8] \\ \end{tabular} } & It is difficult to predict the future, which is a result of, among other things, ever-increasing complexity and uncertainty. Complex systems are inherently uncertain. & \begin{tabular}{c} An innovative conceptual framework for anticipating complex systems should focus on complex approach, which may be based on areas built on common spaces characteristic of uncertainties, knowledge, futures, and on an open and flexible methodology of qualitative and quantitative foresight research. \\ \end{tabular} \\ \hline \multirow{4}{*}{\
\begin{tabular}{c} [PERSON], [PERSON], [PERSON], \& [PERSON] [3] \\ \end{tabular} } & In anticipatory studies, one of the most salient features of many areas of the social and economic disciplines is uncertainty. & There is a risk of failure of the systems in question due to neglect of uncertainty [6]. & Instead of ignoring or eliminating uncertainty, we should detect it and moderate it to a desired state by, among other things, considering the future and knowledge in their alternative forms. \\ \hline \multirow{4}{*}{
\begin{tabular}{c} [PERSON], [PERSON], \& \\ [PERSON] [16] \\ \end{tabular} } & There is a wide range of knowledge, both explicit and implicit in different time frames, influencing the formation of different types of futures and perceptions about them. & The analysis of different futures requires new experiences, new ways of combining known elements and different tools supporting this type of reflection. & The analysis of different futures and varieties of knowledge can be greatly enriched by including in this research the analysis of uncertainty at its various stages. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: The main ideas discussed in this paper. preparedness for future uncertain challenges can be facilitated by skillful anticipatory management of systemic uncertainty. Due to the increasing complexity of IoT systems [81; 82; 83; 84; 85; 86], it is difficult to unambiguously accept, e.g., in terms of security, all results, and thus to make sense of all obtained forms of information, resulting in a high degree of systemic uncertainty. According to the author of this publication, in the face of high systemic uncertainty, managers of IoT systems are required to anticipate the actions of entities that use them (IoT). Anticipating a potential threat, protective measures can be implemented. Paradoxically, the more difficult it is to predict the future, which is a result of, among other things, ever-increasing complexity and uncertainty, the greater the demand for predictions and anticipatory actions [87]. Since, in IoT sensor networks, the state of uncertainty causes the state of discrepancy between the true (expected) value and the measured value to be unknown, one solution may be the concept of establishing a desired value that can be modified according to societal needs and the state of knowledge.