Fast sensor scheduling for mobile sensor networks

Shogo Arai; Yasushi Iwatani; Koichi Hashimoto

doi:10.1109/SICE.2008.4655074

Fast sensor scheduling for mobile sensor networks

Shogo Arai, Yasushi Iwatani, Koichi Hashimoto

INF - System Information Sciences

Tohoku University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In this paper, a sensor scheduling problem for a class of mobile sensor networks is addressed. It is assumed that the measurement noises of the sensors depend on the state of the system and all sensors have the same characteristics. In mobile sensor networks, the positions of the sensors have stochastic uncertainties. We show consider a sensor model which has stochastic uncertainties for the positions of the mobile sensors. The sensor scheduling problem is formulated as the model predictive control problem and a fast and optimal sensor scheduling algorithm is proposed. Computation time of the proposed algorithm is proportional to the number of the sensors and does not depend on the prediction horizon.

Original language	English
Title of host publication	Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
Pages	2442-2446
Number of pages	5
DOIs	https://doi.org/10.1109/SICE.2008.4655074
Publication status	Published - 2008
Event	SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology - Tokyo, Japan Duration: 2008 Aug 20 → 2008 Aug 22

Publication series

Name	Proceedings of the SICE Annual Conference

Conference

Conference	SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
Country/Territory	Japan
City	Tokyo
Period	08/8/20 → 08/8/22

Keywords

Hybrid dynamical systems
Mobile sensor networks
Networked control systems
Sensor scheduling

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10.1109/SICE.2008.4655074

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title = "Fast sensor scheduling for mobile sensor networks",

abstract = "In this paper, a sensor scheduling problem for a class of mobile sensor networks is addressed. It is assumed that the measurement noises of the sensors depend on the state of the system and all sensors have the same characteristics. In mobile sensor networks, the positions of the sensors have stochastic uncertainties. We show consider a sensor model which has stochastic uncertainties for the positions of the mobile sensors. The sensor scheduling problem is formulated as the model predictive control problem and a fast and optimal sensor scheduling algorithm is proposed. Computation time of the proposed algorithm is proportional to the number of the sensors and does not depend on the prediction horizon.",

keywords = "Hybrid dynamical systems, Mobile sensor networks, Networked control systems, Sensor scheduling",

author = "Shogo Arai and Yasushi Iwatani and Koichi Hashimoto",

year = "2008",

doi = "10.1109/SICE.2008.4655074",

language = "English",

isbn = "9784907764296",

series = "Proceedings of the SICE Annual Conference",

pages = "2442--2446",

booktitle = "Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology",

note = "SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology ; Conference date: 20-08-2008 Through 22-08-2008",

}

Arai, S, Iwatani, Y & Hashimoto, K 2008, Fast sensor scheduling for mobile sensor networks. in Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology., 4655074, Proceedings of the SICE Annual Conference, pp. 2442-2446, SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology, Tokyo, Japan, 08/8/20. https://doi.org/10.1109/SICE.2008.4655074

Fast sensor scheduling for mobile sensor networks. / Arai, Shogo; Iwatani, Yasushi; Hashimoto, Koichi.
Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology. 2008. p. 2442-2446 4655074 (Proceedings of the SICE Annual Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fast sensor scheduling for mobile sensor networks

AU - Arai, Shogo

AU - Iwatani, Yasushi

AU - Hashimoto, Koichi

PY - 2008

Y1 - 2008

N2 - In this paper, a sensor scheduling problem for a class of mobile sensor networks is addressed. It is assumed that the measurement noises of the sensors depend on the state of the system and all sensors have the same characteristics. In mobile sensor networks, the positions of the sensors have stochastic uncertainties. We show consider a sensor model which has stochastic uncertainties for the positions of the mobile sensors. The sensor scheduling problem is formulated as the model predictive control problem and a fast and optimal sensor scheduling algorithm is proposed. Computation time of the proposed algorithm is proportional to the number of the sensors and does not depend on the prediction horizon.

AB - In this paper, a sensor scheduling problem for a class of mobile sensor networks is addressed. It is assumed that the measurement noises of the sensors depend on the state of the system and all sensors have the same characteristics. In mobile sensor networks, the positions of the sensors have stochastic uncertainties. We show consider a sensor model which has stochastic uncertainties for the positions of the mobile sensors. The sensor scheduling problem is formulated as the model predictive control problem and a fast and optimal sensor scheduling algorithm is proposed. Computation time of the proposed algorithm is proportional to the number of the sensors and does not depend on the prediction horizon.

KW - Hybrid dynamical systems

KW - Mobile sensor networks

KW - Networked control systems

KW - Sensor scheduling

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BT - Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology

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Y2 - 20 August 2008 through 22 August 2008

ER -

Fast sensor scheduling for mobile sensor networks

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