Dergi makalesi Açık Erişim
Utlu, Ihsan; Kilic, O. Fatih; Kozat, Suleyman S.
We propose a novel algorithm for distributed processing applications constrained by the available communication resources using diffusion strategies that achieves up to a 103 fold reduction in the communication load over the network, while delivering a comparable performance with respect to the state of the art. After computation of local estimates, the information is diffused among the processing elements (or nodes) non-uniformly in time by conditioning the information transfer on level-crossings of the diffused parameter, resulting in a greatly reduced communication requirement. We provide the mean and mean-square stability analyses of our algorithms, and illustrate the gain in communication efficiency compared to other reduced-communication distributed estimation schemes. (C) 2017 Elsevier Inc. All rights reserved.
Dosya adı | Boyutu | |
---|---|---|
bib-893b33ce-ebf1-40b2-933e-b6b26561cf1b.txt
md5:3ac06b1aaba0d81c3551d4993e6525ba |
163 Bytes | İndir |
Görüntülenme | 29 |
İndirme | 10 |
Veri hacmi | 1.6 kB |
Tekil görüntülenme | 28 |
Tekil indirme | 10 |