Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs

Wireless sensor networks (WSNs) are vulnerable to eavesdropping as the nodes (SNs) communicate over an open radio channel. Intelligent reflecting surface (IRS) technology can be leveraged for physical layer security in WSNs. In this letter, we propose a joint transmit and reflective beamformer (JTRB) design secure parameter estimation at fusion center (FC) presence of eavesdropper (ED) WSN. We develop semidefinite relaxation (SDR)-based iterative algorithm, which alternately yields each SN corresponding reflection phases IRS, achieve minimum mean-squared error (MSE) estimate FC, subject power ED signal-to-noise ratio constraints. Our simulation results demonstrate robust MSE performance proposed IRS-based JTRB technique.