A Topology Optimization Method for Reducing Communication Overhead in the Kalman Consensus Filter

A Topology Optimization Method for Reducing Communication Overhead in the Kalman Consensus Filter

Distributed estimation and tracking of interested objects over wireless sensor networks (WSNs) is a hot research topic. Since network topology possesses distinctive structural parameters and plays an important role for the performance of distributed estimation, we first formulate the communication o...

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Bibliographic Details
Main Authors: Lulu Lv, Huifang Chen, Lei Xie, Kuang Wang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
Kalman consensus filter (KCF)
network topology optimization
algebraic connectivity
communication overhead
convergence rate
Online Access:https://www.mdpi.com/2076-3417/11/15/7107

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