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    Multi-sensor Transmission Management for Remote State Estimation under Coordination


    Ding, Kemi and Li, Yuzhe and Dey, Subhrakanti and Shi, Ling (2017) Multi-sensor Transmission Management for Remote State Estimation under Coordination. IFAC-PapersOnLine, 50 (1). pp. 3829-3834. ISSN 2405-8963

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    Abstract

    This paper considers the remote state estimation in a cyber-physical system (CPS) using multiple sensors. The measurements of each sensor are transmitted to a remote estimator over a shared channel, where simultaneous transmissions from other sensors are regarded as interference signals. In such a competitive environment, each sensor needs to choose its transmission power for sending data packets taking into account of other sensors’ behavior. To model this interactive decision-making process among the sensors, we introduce a multi-player non-cooperative game framework. To overcome the inefficiency arising from the Nash equilibrium (NE) solution, we propose a correlation policy, along with the notion of correlation equilibrium (CE). An analytical comparison of the game value between the NE and the CE is provided, with/without the power expenditure constraints for each sensor. Also, numerical simulations demonstrate the comparison results.

    Item Type: Article
    Additional Information: This paper was presented at IFAC 2017 World Congress - The 20th World Congress of the International Federation of Automatic Control, 9-14 Jul 2017, Toulouse, France.
    Keywords: State estimation; Sensors; Remote estimator;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 11901
    Identification Number: https://doi.org/10.1016/j.ifacol.2017.08.489
    Depositing User: Subhrakanti Dey
    Date Deposited: 28 Nov 2019 12:24
    Journal or Publication Title: IFAC-PapersOnLine
    Publisher: Elsevier
    Refereed: Yes
    URI:

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