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Distributed Optimal Estimation with Scalable Communication Cost

Ryosuke ADACHI, Yuh YAMASHITA, Koichi KOBAYASHI

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Summary :

This paper addresses distributed optimal estimation over wireless sensor networks with scalable communications. For realizing scalable communication, a data-aggregation method is introduced. Since our previously proposed method cannot guarantee the global optimality of each estimator, a modified protocol is proposed. A modification of the proposed method is that weights are introduced in the data aggregation. For selecting the weight values in the data aggregation, a redundant output reduction method with minimum covariance is discussed. Based on the proposed protocol, all estimators can calculate the optimal estimate. Finally, numerical simulations show that the proposed method can realize both the scalability of communication and high accuracy estimation.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E104-A No.11 pp.1470-1476
Publication Date
2021/11/01
Publicized
2021/05/18
Online ISSN
1745-1337
DOI
10.1587/transfun.2020KEP0002
Type of Manuscript
Special Section PAPER (Special Section on Circuits and Systems)
Category

Authors

Ryosuke ADACHI
  Yamaguchi University
Yuh YAMASHITA
  Hokkaido University
Koichi KOBAYASHI
  Hokkaido University

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