Formulation and steady-state analysis of diffusion mobile adaptive networks with noisy links

Wael M. Bazzi, Amin Lotfzad Pak, Amir Rastegarnia, Azam Khalili, Zhi Yang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In this study, the effects of noisy links are investigated on the steady-state performance of mobile adaptive networks with diffusion least mean-squares strategies. The authors derive theoretical relations which explain how the steady-state performance metrics, including the steady-state network mean-square deviation and steady-state velocity mean-square-error is affected by noisy links. The provided analysis relies on the spatial-temporal energy conservation argument. The proposed simulation results reveal that although the noisy links degrade the performance of mobile adaptive networks; however, for suitably chosen combination coefficients the mobile adaptive network with noisy links provides a bounded estimation error. Finally, the proposed simulations verify that the derived theoretical analysis closely matches the actual steady-state performance observed in a network.

Original languageEnglish (US)
Pages (from-to)631-637
Number of pages7
JournalIET Signal Processing
Volume9
Issue number9
DOIs
StatePublished - Dec 1 2015

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