  In this paper, we study an interference avoidance scenario in the presence of
a smart interferer which can rapidly observe the transmit power of a
backscatter wireless sensor network (WSN) and effectively interrupt backscatter
signals. We consider a power control with a sub-channel allocation to avoid
interference attacks and a time-switching ratio for backscattering and RF
energy harvesting in backscatter WSNs. We formulate the problem based on a
Stackelberg game theory and compute the optimal transmit power, time-switching
ratio, and sub-channel allocation parameter to maximize a utility function
against the smart interference. We propose two algorithms for the utility
maximization using Lagrangian dual decomposition for the backscatter WSN and
the smart interference to prove the existence of the Stackelberg equilibrium.
Numerical results show that the proposed algorithms effectively maximize the
utility, compared to that of the algorithm based on the Nash game, so as to
overcome smart interference in backscatter communications.
