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arXiv · 1703.09124

Multi-sensor Transmission Management for Remote State Estimation under Coordination

Kemi Ding·Yuzhe Li·Subhrakanti Dey·Ling Shi
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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.

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Kemi Ding, Yuzhe Li, Subhrakanti Dey, Ling Shi. 2017-03-27. Multi-sensor Transmission Management for Remote State Estimation under Coordination. https://arxiv.org/abs/1703.09124

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