Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based Eavesdropper

Sun, Aixin; Liang, Tao; Li, Bolun

doi:10.3390/s17051026

Cited by 8 publications

(11 citation statements)

References 43 publications

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“…Since energy harvesting is an appealing and promising technology [ 31 , 32 ], more and more papers study PLS problems with EH nodes recently. In [ 10 ], the PLS issue of cognitive sensor radio networks (CSRNs) with an external EH eavesdropper was investigated. Underlay spectrum sharing was used in CSRNs.…”

Section: Related Workmentioning

confidence: 99%

“…The sensor node acts as the secondary user, and adjusts its transmit power to guarantee the primary user’s quality-of-service (QoS). Two scenarios with different interference power constraints were studied and the closed-form analytical expressions of secrecy outage probability for both cases were derived [ 10 ]. Authors in [ 33 ] considered an underlay cognitive radio system, where a source in a secondary system transmitted information to a full-duplex (FD) wireless EH destination node in the presence of an eavesdropper.…”

Section: Related Workmentioning

confidence: 99%

“…The considered CIoT network is shown in Figure 1 , where an IoT network works as the secondary network, and the primary network has a primary receiver P . The primary transmitter is located far away from the IoT network as in [ 10 , 33 ]. Therefore, there is no interference from the primary transmitter to the IoT network.…”

Section: System Modelmentioning

confidence: 99%

“…A serious issue caused by the usage of massive IoT devices is the spectrum scarcity. The concept of Cognitive Internet of Things (CIoT) has been advocated to solve this problem [ 6 , 7 , 8 , 9 , 10 , 11 ]. In a CIoT network, an IoT device acts as an unlicensed secondary user and operates on the same spectrum bands owned by a licensed primary user.…”

Section: Introductionmentioning

confidence: 99%

“…When the IoT device does not sense the spectrum, it accesses the primary spectrum bands as long as the secondary transmission satisfies the interference threshold constraint [ 12 ], which indicates the tolerance of the secondary transmission at the primary receiver [ 13 ]. This kind of dynamic spectrum access is called underlay spectrum sharing [ 10 ]. To satisfy the interference threshold constraint, it is required that the secondary user has the knowledge of the interference level at the primary receiver.…”

Section: Introductionmentioning

confidence: 99%

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Secure Communications in CIoT Networks with a Wireless Energy Harvesting Untrusted Relay

Gao

Liao

et al. 2017

Sensors

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The Internet of Things (IoT) represents a bright prospect that a variety of common appliances can connect to one another, as well as with the rest of the Internet, to vastly improve our lives. Unique communication and security challenges have been brought out by the limited hardware, low-complexity, and severe energy constraints of IoT devices. In addition, a severe spectrum scarcity problem has also been stimulated by the use of a large number of IoT devices. In this paper, cognitive IoT (CIoT) is considered where an IoT network works as the secondary system using underlay spectrum sharing. A wireless energy harvesting (EH) node is used as a relay to improve the coverage of an IoT device. However, the relay could be a potential eavesdropper to intercept the IoT device’s messages. This paper considers the problem of secure communication between the IoT device (e.g., sensor) and a destination (e.g., controller) via the wireless EH untrusted relay. Since the destination can be equipped with adequate energy supply, secure schemes based on destination-aided jamming are proposed based on power splitting (PS) and time splitting (TS) policies, called intuitive secure schemes based on PS (Int-PS), precoded secure scheme based on PS (Pre-PS), intuitive secure scheme based on TS (Int-TS) and precoded secure scheme based on TS (Pre-TS), respectively. The secure performances of the proposed schemes are evaluated through the metric of probability of successfully secure transmission (PSST), which represents the probability that the interference constraint of the primary user is satisfied and the secrecy rate is positive. PSST is analyzed for the proposed secure schemes, and the closed form expressions of PSST for Pre-PS and Pre-TS are derived and validated through simulation results. Numerical results show that the precoded secure schemes have better PSST than the intuitive secure schemes under similar power consumption. When the secure schemes based on PS and TS polices have similar PSST, the average transmit power consumption of the secure scheme based on TS is lower. The influences of power splitting and time slitting ratios are also discussed through simulations.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Secure Communications in CIoT Networks with a Wireless Energy Harvesting Untrusted Relay

Gao

Liao

et al. 2017

Sensors

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Secrecy outage performance of multi-hop LEACH networks using power beacon aided cooperative jamming with jammer selection methods

Duy

Vozňák

2020

AEU - International Journal of Electronics and Communications

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Outage Minimization of Energy Harvesting-Based Relay-Assisted Random Underlay Cognitive Radio Networks With Interference Cancellation

et al. 2021

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This paper incorporates interference cancellation in the outage analysis of a wireless energy harvesting cognitive relay network. Based on an interference threshold, primary receivers are assumed to be able to cancel a fraction of the strongest interferers in the primary network which often dominates the total interference. To achieve this, the coefficient of cancellation is adapted into the analysis to reduce the level of interference. The rationale is to improve the successful transmission probability of the primary network by cancelling interference at its receivers. Interestingly, this reduces the overhead incurred by the secondary network to meet up with the primary outage constraint. In this work, the optimal relay selection range is derived and deployed to minimize the secondary outage probability. Analytical results show that this approach can be used to significantly reduce the secondary outage probability which in turn improves the network performance. However, this is at the cost of reducing the energy harvesting success probability of the relays within the secondary network.INDEX TERMS cognitive relay networks, decode and forward, energy harvesting, interference cancellation, optimal relay selection range, outage probability, stochastic geometry.

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Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based Eavesdropper

Cited by 8 publications

References 43 publications

Secure Communications in CIoT Networks with a Wireless Energy Harvesting Untrusted Relay

Secure Communications in CIoT Networks with a Wireless Energy Harvesting Untrusted Relay

Secrecy outage performance of multi-hop LEACH networks using power beacon aided cooperative jamming with jammer selection methods

Outage Minimization of Energy Harvesting-Based Relay-Assisted Random Underlay Cognitive Radio Networks With Interference Cancellation

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