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Telecommunication Systems
Erschienen in: Telecommunication Systems 4/2018

28.03.2018

A unified analytical framework for distributed variable step size LMS algorithms in sensor networks

verfasst von: Muhammad Omer Bin Saeed, Waleed Ejaz, Saad Rehman, Azzedine Zerguine, Alagan Anpalagan, Houbing Song

Erschienen in: Telecommunication Systems | Ausgabe 4/2018

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Abstract

Internet of Things (IoT) is helping to create a smart world by connecting sensors in a seamless fashion. With the forthcoming fifth generation (5G) wireless communication systems, IoT is becoming increasingly important since 5G will be an important enabler for the IoT. Sensor networks for IoT are increasingly used in diverse areas, e.g., in situational and location awareness, leading to proliferation of sensors at the edge of physical world. There exist several variable step-size strategies in literature to improve the performance of diffusion-based Least Mean Square (LMS) algorithm for estimation in wireless sensor networks. However, a major drawback is the complexity in the theoretical analysis of the resultant algorithms. Researchers use several assumptions to find closed-form analytical solutions. This work presents a unified analytical framework for distributed variable step-size LMS algorithms. This analysis is then extended to the case of diffusion based wireless sensor networks for estimating a compressible system and steady state analysis is carried out. The approach is applied to several variable step-size strategies for compressible systems. Theoretical and simulation results are presented and compared with the existing algorithms to show the superiority of proposed work.
Vorheriger Artikel A secure enhanced privacy-preserving key agreement protocol for wireless mobile networks
Nächster Artikel An intra–inter-cell device-to-device communication scheme to enhance 5G network throughput with delay modeling

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Metadaten
Titel
A unified analytical framework for distributed variable step size LMS algorithms in sensor networks
verfasst von
Muhammad Omer Bin Saeed
Waleed Ejaz
Saad Rehman
Azzedine Zerguine
Alagan Anpalagan
Houbing Song
Publikationsdatum
28.03.2018
Verlag
Springer US
Erschienen in
Telecommunication Systems / Ausgabe 4/2018
Print ISSN: 1018-4864
Elektronische ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-018-0447-z

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