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

Analysis of the Game-Theoretic Modeling of Backscatter Wireless Sensor Networks under Smart Interference