Open AccessFormulation and steady‐state analysis of diffusion mobile adaptive networks with noisy links
Author(s) -
Bazzi Wael M.,
Lotfzad Pak Amin,
Rastegarnia Amir,
Khalili Azam,
Yang Zhi
Publication year - 2015
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
ISSN - 1751-9683
DOI - 10.1049/iet-spr.2014.0306
Subject(s) - steady state (chemistry) , computer science , bounded function , mean squared error , diffusion , state (computer science) , algorithm , mathematics , statistics , mathematical analysis , chemistry , physics , thermodynamics
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.