Eigencentrality-based Analysis of Optimal Connectivity in Heterogeneous IoT Network
Partha Sarathi Banerjee, Biswajit Maiti and Satyendra Nath Mandal
Eigencentrality based measures have been proposed for the optimal positioning of the multi-interface nodes in the framework of Internet of Things (IoT). The robustness of IoT network and its resilience to any kind of attack depends on the amount of heterogeneity present in the network. Jaccard dissimilarity based measurement of centrality is used as a parameter in the Modified Minimum-Vertex-Cover Algorithm to determine the maximum heterogeneity around a node. The algorithm is tested in two extremely opposite topological environments like a perfect square grid and a completely random network and is found to work well in both the cases indicating its resilience towards network variation, network dimension and amount of heterogeneity present in the network. This suggests its effectiveness to be used in IoT framework.
Keywords: Internet of Things, Heterogeneous network, Centrality, Jaccard dissimilarity, Minimum-Vertex-Cover