PROJECT TITLE :
A Spanning-Tree-Based Connectivity Model in Finite Wireless Networks and Performance under Correlated Shadowing
A unique methodology for connectivity calculation in finite wireless multi-hop networks is presented. The most idea of this new model is the association of the connected likelihood with the chance of the existence of a minimum of one connected spanning tree inside the network's graph. A general shut form expression for the calculation of the connected likelihood under correlated fading channels is derived. Finally, we have a tendency to investigate the performance of the connectivity model under lognormal correlated shadowing channels. Significant conclusions are drawn.
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