Remote Estimation over Control Area Networks

Abstract

The problem of assigning priorities for scheduling multiple sensor measurements over a control area network is considered. A dynamic priority allocation scheme is proposed, where priorities are assigned according to the value of information. The value of information is defined as the fee a receiver is willing to pay to access that information. It is shown that the value of information can be computed by solving two Fredholm integral equations. An efficient computation of the value of information is proposed. Numerical examples suggest that the proposed priority assignment scheme outperforms the existing schemes in the literature.