Sensor network scheduling algorithm considering estimation error variance and communication energy

Takashi Takeda, Toru Namerikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper deals with a sensor scheduling algrithm considering estimation error variance and communication energy in sensor networked feedback systems. We propose a novel decentralized estimation algorithm with unknown inputs in each sensor node. Most existing works deal with the sensor network systems as sensing systems and it is difficult to apply them to the real physical feedback control systems Then some local estimates are merged and the merged estimates can be optimized in the proposed method and the estimation error covariance has a unique positive definite solution under some assumptions. Next, we propose a novel sensor scheduling algorithm in which each sensor node transmits information. A sensor node uses energy by communication between other sensor node or the plant. The proposed algorithm achieves a sub-optimal network topology with minimum energy and a desired variance. Experimental results show an effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Control Applications
Pages434-439
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 IEEE International Conference on Control Applications, CCA 2010 - Yokohama, Japan
Duration: 2010 Sep 82010 Sep 10

Other

Other2010 IEEE International Conference on Control Applications, CCA 2010
CountryJapan
CityYokohama
Period10/9/810/9/10

Fingerprint

Network Algorithms
Estimation Error
Scheduling algorithms
Scheduling Algorithm
Sensor nodes
Error analysis
Sensor networks
Sensor Networks
Sensor
Communication
Energy
Sensors
Feedback Systems
Vertex of a graph
Feedback control
Positive Definite Solution
Scheduling
Topology
Unknown Inputs
Feedback

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Mathematics(all)

Cite this

Takeda, T., & Namerikawa, T. (2010). Sensor network scheduling algorithm considering estimation error variance and communication energy. In Proceedings of the IEEE International Conference on Control Applications (pp. 434-439). [5611316] https://doi.org/10.1109/CCA.2010.5611316

Sensor network scheduling algorithm considering estimation error variance and communication energy. / Takeda, Takashi; Namerikawa, Toru.

Proceedings of the IEEE International Conference on Control Applications. 2010. p. 434-439 5611316.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Takeda, T & Namerikawa, T 2010, Sensor network scheduling algorithm considering estimation error variance and communication energy. in Proceedings of the IEEE International Conference on Control Applications., 5611316, pp. 434-439, 2010 IEEE International Conference on Control Applications, CCA 2010, Yokohama, Japan, 10/9/8. https://doi.org/10.1109/CCA.2010.5611316
Takeda T, Namerikawa T. Sensor network scheduling algorithm considering estimation error variance and communication energy. In Proceedings of the IEEE International Conference on Control Applications. 2010. p. 434-439. 5611316 https://doi.org/10.1109/CCA.2010.5611316
Takeda, Takashi ; Namerikawa, Toru. / Sensor network scheduling algorithm considering estimation error variance and communication energy. Proceedings of the IEEE International Conference on Control Applications. 2010. pp. 434-439
@inproceedings{6e538f16383e4fd0a2483c64b15287a1,
title = "Sensor network scheduling algorithm considering estimation error variance and communication energy",
abstract = "This paper deals with a sensor scheduling algrithm considering estimation error variance and communication energy in sensor networked feedback systems. We propose a novel decentralized estimation algorithm with unknown inputs in each sensor node. Most existing works deal with the sensor network systems as sensing systems and it is difficult to apply them to the real physical feedback control systems Then some local estimates are merged and the merged estimates can be optimized in the proposed method and the estimation error covariance has a unique positive definite solution under some assumptions. Next, we propose a novel sensor scheduling algorithm in which each sensor node transmits information. A sensor node uses energy by communication between other sensor node or the plant. The proposed algorithm achieves a sub-optimal network topology with minimum energy and a desired variance. Experimental results show an effectiveness of the proposed method.",
author = "Takashi Takeda and Toru Namerikawa",
year = "2010",
doi = "10.1109/CCA.2010.5611316",
language = "English",
isbn = "9781424453627",
pages = "434--439",
booktitle = "Proceedings of the IEEE International Conference on Control Applications",

}

TY - GEN

T1 - Sensor network scheduling algorithm considering estimation error variance and communication energy

AU - Takeda, Takashi

AU - Namerikawa, Toru

PY - 2010

Y1 - 2010

N2 - This paper deals with a sensor scheduling algrithm considering estimation error variance and communication energy in sensor networked feedback systems. We propose a novel decentralized estimation algorithm with unknown inputs in each sensor node. Most existing works deal with the sensor network systems as sensing systems and it is difficult to apply them to the real physical feedback control systems Then some local estimates are merged and the merged estimates can be optimized in the proposed method and the estimation error covariance has a unique positive definite solution under some assumptions. Next, we propose a novel sensor scheduling algorithm in which each sensor node transmits information. A sensor node uses energy by communication between other sensor node or the plant. The proposed algorithm achieves a sub-optimal network topology with minimum energy and a desired variance. Experimental results show an effectiveness of the proposed method.

AB - This paper deals with a sensor scheduling algrithm considering estimation error variance and communication energy in sensor networked feedback systems. We propose a novel decentralized estimation algorithm with unknown inputs in each sensor node. Most existing works deal with the sensor network systems as sensing systems and it is difficult to apply them to the real physical feedback control systems Then some local estimates are merged and the merged estimates can be optimized in the proposed method and the estimation error covariance has a unique positive definite solution under some assumptions. Next, we propose a novel sensor scheduling algorithm in which each sensor node transmits information. A sensor node uses energy by communication between other sensor node or the plant. The proposed algorithm achieves a sub-optimal network topology with minimum energy and a desired variance. Experimental results show an effectiveness of the proposed method.

UR - http://www.scopus.com/inward/record.url?scp=78649421751&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78649421751&partnerID=8YFLogxK

U2 - 10.1109/CCA.2010.5611316

DO - 10.1109/CCA.2010.5611316

M3 - Conference contribution

SN - 9781424453627

SP - 434

EP - 439

BT - Proceedings of the IEEE International Conference on Control Applications

ER -