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

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 in...

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Bibliographic Details
Published in:Telecommunication systems Vol. 69; no. 4; pp. 447 - 459
Main Authors: Bin Saeed, Muhammad Omer, Ejaz, Waleed, Rehman, Saad, Zerguine, Azzedine, Anpalagan, Alagan, Song, Houbing
Format: Journal Article
Language:English
Published: New York Springer US 01.12.2018
Springer Nature B.V
Subjects:
Algorithms
Artificial Intelligence
Business and Management
Compressibility
Computer Communication Networks
Computer simulation
Internet of Things
IT in Business
Mathematical analysis
Performance enhancement
Probability Theory and Stochastic Processes
Remote sensors
Sensors
Smart sensors
Telecommunications systems
Wireless communication systems
Wireless communications
Wireless sensor networks
Wireless sensor networks
Mean-square analysis
Steady-state analysis
Least-mean-square algorithms
Variable step-size
ISSN:1018-4864, 1572-9451
Online Access:Get full text
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Summary: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.
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ISSN:1018-4864
1572-9451
DOI:10.1007/s11235-018-0447-z