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

Takeshi Hatanaka, Yasuaki Wasa, Masayuki Fujita

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
出版社Institute of Electrical and Electronics Engineers Inc.
ページ7634-7640
ページ数7
ISBN(印刷版)9781467357173
DOI
出版ステータスPublished - 2013 1 1
外部発表はい
イベント52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italy
継続期間: 2013 12 102013 12 13

出版物シリーズ

名前Proceedings of the IEEE Conference on Decision and Control
ISSN(印刷版)0191-2216

Conference

Conference52nd IEEE Conference on Decision and Control, CDC 2013
CountryItaly
CityFlorence
Period13/12/1013/12/13

ASJC Scopus subject areas

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

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