Power Control of Multi-sensor Remote State Estimation Under Malicious Attacks

This paper studies a transmission power control problem in the presence of malicious attacks, in which sensors transmit their local estimates to a remote estimator through independent wireless channels. The sensor’s data transmission performance is assumed to be not affected by the transmission power of other sensors, and a new objective function is proposed to reflect the performance of remote state estimation. Game approaches including Nash and Stackelberg games are utilized to design the optimal strategies for both players, respectively. Moreover, the energy constraints are taken into account for both sides. Finally, simulation examples are provided to illustrate the main results.