Open AccessControlled limited‐exchange diffusion network model for cellular‐based applications
Author(s) -
Elhag Ahmed A.,
Sadek Mirette,
Saleh Mona Z.,
Elramly Salwa H.
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.0512
Subject(s) - computer science , mean squared error , convergence (economics) , volume (thermodynamics) , diffusion , stability (learning theory) , square (algebra) , reduction (mathematics) , algorithm , mathematical optimization , mathematics , statistics , machine learning , physics , geometry , quantum mechanics , economics , thermodynamics , economic growth
In adaptive diffusion networks, one of the main challenges is the large volume of data exchange among nodes needed to arrive at a collective decision. In this study, a new model for adaptive diffusion networks is proposed which offers a tradeoff between the mean‐square error performance of the system and the volume of data exchanged among network nodes while preserving the network convergence rate. Study of the mean‐square stability of the network under the proposed algorithms is provided. Also, a study of the mean‐error dynamic behaviour of the network is carried out. A closed‐form expression for the overall network steady‐state means‐square error is derived and verified against simulated data. The proposed algorithm is applied to a cellular network location estimation problem, and delivers good performance even under 75% reduction in data exchange volume.