Game theoretic cooperative control of PTZ visual sensor networks for environmental change monitoring

Takeshi Hatanaka, Yasuaki Wasa, Masayuki Fujita

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

5 Citations (Scopus)

Abstract

In this paper, we investigate cooperative environmental monitoring for Pan-Tilt-Zoom(PTZ) visual sensor networks based on game theoretic cooperative control. In particular, we focus on one of the key goals of the monitoring task, i.e. monitoring environmental changes from a normal state. For this purpose, this paper first presents a novel formulation of the optimal environmental monitoring problem reflecting the above objective and characteristics of vision sensors. Then, the optimization problem is reduced to a potential game with potential function equal to the formulated objective function through an existing utility design technique, where the designed utility is shown to be computable through local computation and communication. We finally present a payoff-based learning algorithm, which refines [18] so that the sensors eventually take the potential function maximizes with high probability and local action constraints are dealt with. Finally, we run experiments on a testbed in order to demonstrate the effectiveness of the presented approach.

Original languageEnglish
Title of host publication2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7634-7640
Number of pages7
ISBN (Print)9781467357173
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event52nd IEEE Conference on Decision and Control, CDC 2013 - Florence
Duration: 2013 Dec 102013 Dec 13

Other

Other52nd IEEE Conference on Decision and Control, CDC 2013
CityFlorence
Period13/12/1013/12/13

Fingerprint

Cooperative Control
Environmental Monitoring
Tilt
Sensor networks
Sensor Networks
Monitoring
Game
Potential Function
Potential Games
Local Computation
Sensor
Testbed
Learning Algorithm
Sensors
Objective function
Testbeds
Maximise
Learning algorithms
Optimization Problem
Formulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

Cite this

Hatanaka, T., Wasa, Y., & Fujita, M. (2013). Game theoretic cooperative control of PTZ visual sensor networks for environmental change monitoring. In 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013 (pp. 7634-7640). [6761101] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2013.6761101

Game theoretic cooperative control of PTZ visual sensor networks for environmental change monitoring. / Hatanaka, Takeshi; Wasa, Yasuaki; Fujita, Masayuki.

2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. p. 7634-7640 6761101.

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

Hatanaka, T, Wasa, Y & Fujita, M 2013, Game theoretic cooperative control of PTZ visual sensor networks for environmental change monitoring. in 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013., 6761101, Institute of Electrical and Electronics Engineers Inc., pp. 7634-7640, 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, 13/12/10. https://doi.org/10.1109/CDC.2013.6761101
Hatanaka T, Wasa Y, Fujita M. Game theoretic cooperative control of PTZ visual sensor networks for environmental change monitoring. In 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013. Institute of Electrical and Electronics Engineers Inc. 2013. p. 7634-7640. 6761101 https://doi.org/10.1109/CDC.2013.6761101
Hatanaka, Takeshi ; Wasa, Yasuaki ; Fujita, Masayuki. / Game theoretic cooperative control of PTZ visual sensor networks for environmental change monitoring. 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. pp. 7634-7640
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