A Model For Expanding A Class Of Networks Preserving Original Network Properties Using The Indefinite Impedance Matrix

In this paper we present a model for communication network expansion that preserves most of the original network properties, notably planarity, cubicity, Hamiltonicity. These properties are important to be preserved because the newly found network remains in the same class as the original one and the total overhead remains as low as possible. The implications on the algorithms involved in the process are presented, too. The extension is based on the network model using the Indefinite Impedance Matrix.