An Intelligent Adaptive Algorithm for Environment Parameter Estimation in Smart Cities

An Intelligent Adaptive Algorithm for Environment Parameter Estimation in Smart Cities

Least mean squares (LMS) adaptive algorithms are attractive for distributed environment parameter estimation problems in a smart city due to the benefits of cooperation, adaptation, and rapid convergence. To obtain a reliable estimate of the network-wide parameter vector, local results can be furthe...

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Bibliographic Details
Main Authors: Mou Wu, Neal N. Xiong, Liansheng Tan
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Smart city
distributed estimation
LMS adaptive algorithm
variable step-size
Online Access:https://ieeexplore.ieee.org/document/8306948/

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