Game theoretic modeling of jamming attack in wireless powered communication networks

Niyato, Dusit; Wang, Ping; Kim, Dong In; Han, Zhu; Lu, Xiao

doi:10.1109/icc.2015.7249281

Cited by 20 publications

(9 citation statements)

References 13 publications

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“…The structure of the hybrid transmitter since the ambient RF signals may alternate between ON state (i.e., the signals are present) and OFF state (i.e., the signals are absent), ambient backscattering cannot be adopted when the RF signals are OFF. In this case, a wireless powered transmitter can be adopted to perform active RF transmission using energy that was harvested and stored before when the RF signals were ON [24]- [26]. Therefore, these two technologies can well complement each other and result in better data transmission performance.…”

Section: Ambient Backscatter Assisted Wireless Powered Communicamentioning

confidence: 99%

Ambient Backscatter Assisted Wireless Powered Communications

Niyato

Jiang

et al. 2018

IEEE Wireless Commun.

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189

109

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Ambient backscatter communication technology has been introduced recently, and is then quickly becoming a promising choice for self-sustainable communication systems as an external power supply or a dedicated carrier emitter is not required. By leveraging existing RF signal resources, ambient backscatter technology can support sustainable and independent communications and consequently open up a whole new set of applications that facilitate Internetof-Things (IoT). In this article, we study an integration of ambient backscatter with wireless powered communication networks (WPCNs). We first present an overview of backscatter communication systems with an emphasis on the emerging ambient backscatter technology. Then we propose a novel hybrid transmitter design by combining the advantages of both ambient backscatter and wireless powered communications. Furthermore, in the cognitive radio environment, we introduce a multiple access scheme to coordinate the hybrid data transmissions. The performance evaluation shows that the hybrid transmitter outperforms traditional designs. In addition, we discuss some open issues related to the ambient backscatter networking. Index TermsAmbient backscatter communications, modulated backscatter, RF energy harvesting, self-sustainable communications, wireless powered communications, Internet-of-Things. I. INTRODUCTIONInformation transmission based on modulated backscatter of incident signals from external RF sources has emerged as a promising solution for low-power wireless communications. The power consumption of a typical backscatter transmitter is less than 1 µW [1], which renders excessively long lifetime, e.g., 10 years, for an on-chip battery. This low power consumption well matches the harvestable wireless energy from RF sources, e.g., typically from 1 µW to tens of µW [2], [3]. This additionally renders RF energy harvesting to be an alternative to power backscatter transmitters. Furthermore, backscatter communications Dong In Kim is the corresponding author 2 can be embedded into small gadgets and objects, e.g., a radio frequency identification (RFID) and passive sensor. Therefore, backscatter communications is also envisioned as the last hop in the Internet-of-Things (IoT) [4], which requires low cost and ubiquitous deployment of small-sized devices [5].Due to recent dramatic increases in application demands, the requirement for backscatter communications has gone beyond the conventional RFID towards a more data-intensive way. This strongly raises the need for re-engineering backscatter transmitters for better reliability, higher data rates, and longer interrogation/transmission range. However, traditional backscatter communication techniques, e.g., RFID, are hindered by three major shortcomings: 1) The activation of backscatter transmitters relies on an external power supply such as an active interrogator (also called a reader or carrier emitter) which is costly and bulky.2) A backscatter transmitter passively responds only when inquired by a reader. The communication link ...

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Section: Ambient Backscatter Assisted Wireless Powered Communicamentioning

confidence: 99%

Ambient Backscatter Assisted Wireless Powered Communications

Niyato

Jiang

et al. 2018

IEEE Wireless Commun.

Self Cite

189

109

View full text Add to dashboard Cite

show abstract

“…Let

be the stationary probability in local state

and action

of IoT device i given the stationary policies of other IoT devices

. Then, the solution of the equivalent LP model

can be mapped to the best response policy of the constrained stochastic game [ 30 , 31 ]. The equivalent LP model can be defined by

…”

Section: Constrained Stochastic Gamementioning

confidence: 99%

Distributed Group Location Update Algorithm for Massive Machine Type Communication

Paik

2020

Sensors

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Frequent location updates of individual Internet of Things (IoT) devices can cause several problems (e.g., signaling overhead in networks and energy depletion of IoT devices) in massive machine type communication (mMTC) systems. To alleviate these problems, we design a distributed group location update algorithm (DGLU) in which geographically proximate IoT devices determine whether to conduct the location update in a distributed manner. To maximize the accuracy of the locations of IoT devices while maintaining a sufficiently small energy outage probability, we formulate a constrained stochastic game model. We then introduce a best response dynamics-based algorithm to obtain a multi-policy constrained Nash equilibrium. From the evaluation results, it is demonstrated that DGLU can achieve an accuracy of location information that is comparable with that of the individual location update scheme, with a sufficiently small energy outage probability.

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“…In the end, they achieve a saddle-point equilibrium as a optimal strategy. Niyato et al [34] investigated a wireless powered network where the user can submit an energy demand to the energy source for its transmission power. In this system, they consider a malicious node which steal the energy to jam the information transmitted by the user.…”

Section: Analysis With Game Theorymentioning

confidence: 99%

Jamming and Eavesdropping Defense in Green Cyber–Physical Transportation Systems Using a Stackelberg Game

Wang

Yuan

Miyazaki

et al. 2018

IEEE Trans. Ind. Inf.

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This paper studies the secure transmission rate issue between sensors and the remote controller to defend the jamming and eavesdropping attacks in Green Cyber-Physical Transportation Systems (GCPTS). In this system, the traffic sensor transmits the transportation state information to the remote controller via wireless networks. Due to the broadcast characteristics of wireless communication, the systems are vulnerable to the eavesdropping and jamming attacks. In this paper, we study how to maximize the secure transmission rate between sensors and the controller with the presence of malicious eavesdropper and jammer. Specifically, the malicious jammer is smart and can choose the optimal power strategy to maximize the side effect with the knowledge of sensor's transmission power. For the purpose of achieving the maximum utility, the optimal strategy is determined via adjusting the sensor's transmission power according to the control feedback conditions. We consider the single-antenna model and the multi-antenna model to formulate this problem as an optimization problem based on the Stackelberg game. We then prove the existence of Stackelberg equilibrium via the interaction between the sensor and the jammer. Moreover, we present two algorithms to obtain the optimal transmission strategy, i.e., stochastic algorithm with feedback (SAF) and renewed intelligent simulated annealing (RISA). Finally, extensive simulations and trace experimental results are presented to verify our theoretical analysis.

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Game theoretic modeling of jamming attack in wireless powered communication networks

Cited by 20 publications

References 13 publications

Ambient Backscatter Assisted Wireless Powered Communications

Ambient Backscatter Assisted Wireless Powered Communications

Distributed Group Location Update Algorithm for Massive Machine Type Communication

Jamming and Eavesdropping Defense in Green Cyber–Physical Transportation Systems Using a Stackelberg Game

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