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In this paper, we study large-scale networks in terms of observability andcontrollability. In particular, we compare the number of unmatched nodes in twomain types of Scale-Free (SF) networks: the Barab{\'a}si-Albert (BA) model andthe Holme-Kim (HK) model. Comparing the two models based on theory andsimulation, we discuss the possible relation between clustering coefficient andthe number of unmatched nodes. In this direction, we propose a new algorithm toreduce the number of unmatched nodes via link addition. The results aresignificant as one can reduce the number of unmatched nodes and thereforenumber of embedded sensors/actuators in, for example, an IoT network. This maysignificantly reduce the cost of controlling devices or monitoring cost inlarge-scale systems.

On the Observability and Controllability of Large-Scale IoT Networks: Reducing Number of Unmatched Nodes via Link Addition