Game-Theoretic Modeling of Backscatter Wireless Sensor Networks under Smart Interference
- Authors
- Hong, S.G.; Hwang, Y.M.; Lee, S.Y.; Shin, Y.; Kim, D.I.; Kim, J.Y.
- Issue Date
- Apr-2018
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Backscatter communications; smart interference; wireless sensor networks; Stackelberg game
- Citation
- IEEE Communications Letters, v.22, no.4, pp.804 - 807
- Journal Title
- IEEE Communications Letters
- Volume
- 22
- Number
- 4
- Start Page
- 804
- End Page
- 807
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/7386
- DOI
- 10.1109/LCOMM.2017.2784454
- ISSN
- 1089-7798
- Abstract
- 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 subchannel 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. IEEE
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