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For the Internet-of-unmanned aerial vehicles (UAVs) some challenges inbroadcasting and from new points of view are explored. In this paper, first, weinvestigate a single broadcast transceiver. From a control of noisy-channelviewpoint, we consider: (\textit{i}) Alice sends $\mathcal{X}$ to Bob as more\textcolor{black}{efficient} as possible while she wishes Bob not to get accessto the private message $\mathcal{S}$ regarding the correlation between$\mathcal{S}$ and $\mathcal{X}$ $-$ i.e., Alice purposefully sends a\textit{turbulent-flow} of the information to Bob; and (\textit{ii}) where$\big (\Theta_1;\Theta_2 \big)$ is the control-action-pair which actualise a\textit{pursuit-Evasion}. We consider \textit{dissipativity} in our system dueto the memory effect relating to the previous states. We thus propose afederated-learning based \textit{Blahut-Arimoto} algorithm while a 2-D\textit{dissipativity}-theoretic continuous-Mean-Field-Game (MFG) is proposedwith regard to (w.r.t.) a joint probability-distribution-function (PDF) of thepopulation distribution $-$ relating to a continuous-control-law. We alsoanalyse what if Alice is owed to multiple Bobs in a multi-user scenario whichwe apply a bankruptcy based $3-$level nested game for.

Novel Information-theoretic Game-theoretical Insights to Broadcasting in Internet-of-UAVs