Energy Efficient Spectrum Sensing for State Estimation over A Wireless Channel

TL;DR

This paper proposes an energy-efficient spectrum sensing strategy for remote state estimation over wireless channels, balancing energy consumption and estimation accuracy.

Contribution

It formulates an optimization problem to minimize sensor energy use while maintaining estimation performance, providing analytical and simulation solutions.

Findings

Optimized spectrum sensing reduces energy consumption.

Maintains desired estimation accuracy.

Validated through analytical and simulation results.

Abstract

The performance of remote estimation over wireless channel is strongly affected by sensor data losses due to interference. Although the impact of interference can be alleviated by performing spectrum sensing and then transmitting only when the channel is clear, the introduction of spectrum sensing also incurs extra energy expenditure. In this paper, we investigate the problem of energy efficient spectrum sensing for state estimation of a general linear dynamic system, and formulate an optimization problem which minimizes the total sensor energy consumption while guaranteeing a desired level of estimation performance. The optimal solution is evaluated through both analytical and simulation results.