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IEEE Access

Secrecy Outage Performance Analysis for Energy Harvesting Sensor Networks With a Jammer Using Relay Selection Strategy

Van Nhan Vo, Tri Gia Nguyen, Chakchai So–In, Zubair Ahmed Baig, Surasak Sanguanpong

Published Jan 1, 2018• 51 citations
Publisher

Abstract

In this paper, we study radio frequency energy harvesting (EH) in a wireless sensor network in the presence of multiple eavesdroppers (EAVs). Specifically, the sensor source and multiple sensor relays harvest energy from multiple power transfer stations (PTSs), and then, the source uses this harvested energy to transmit information to the base station (BS) with the help of the relays. During the transmission of information, the BS typically faces a risk of losing information due to the EAVs. Thus, to enhance the secrecy of the considered system, one of the relays acts as a jammer, using harvested energy to generate interference with the EAVs. We propose a best-relay-and-best-jammer scheme for this purpose and compare this scheme with other previous schemes. The exact closed-form expression for the secrecy outage probability (SOP) is obtained and is validated through Monte Carlo simulations. A near-optimal EH time algorithm is also proposed. In addition, the effects on the SOP of key system parameters such as the EH efficiency coefficient, the EH time, the distance between the relay and BS, the number of PTSs, the number of relays, and the number of EAVs are investigated. The results indicate that the proposed scheme generally outperforms both the best-relay-and-random-jammer scheme and the random-relay-and-best-jammer scheme in terms of the secrecy capacity.

DOI
10.1109/access.2018.2829485

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In this paper, we study radio frequency energy harvesting (EH) in a wireless sensor network in the presence of multiple eavesdroppers (EAVs). Specifically, the sensor source and multiple sensor relays harvest energy from multiple power transfer stations (PTSs), and then, the source uses this harvested energy to transmit information to the base station (BS) with the help of the relays. During the transmission of information, the BS typically faces a risk of losing information due to the EAVs. Thus, to enhance the secrecy of the considered system, one of the relays acts as a jammer, using harvested energy to generate interference with the EAVs. We propose a best-relay-and-best-jammer scheme for this purpose and compare this scheme with other previous schemes. The exact closed-form expression for the secrecy outage probability (SOP) is obtained and is validated through Monte Carlo simulations. A near-optimal EH time algorithm is also proposed. In addition, the effects on the SOP of key system parameters such as the EH efficiency coefficient, the EH time, the distance between the relay and BS, the number of PTSs, the number of relays, and the number of EAVs are investigated. The results indicate that the proposed scheme generally outperforms both the best-relay-and-random-jammer scheme and the random-relay-and-best-jammer scheme in terms of the secrecy capacity.
In this paper, we investigate the physical layer security (PLS) of a wireless sensor network (WSN) that consists of a base station (BS), multiple sensor nodes (SNs), and multiple energy-limited relays (ERs) in the presence of a passive eavesdropper (EAV). We adopt a time-switching/power-splitting (TSPS) mechanism for information transmission. The communication protocol is divided into two phases. The purpose of the first phase is to decode information, and energy harvesting (EH) is performed in accordance with the TSPS protocol. The purpose of the second phase is to transmit information to multiple destinations using the amplify-and-forward (AF) technique. In this study, we introduce a multirelay cooperative scheme (MRCS) to improve the secrecy performance. We derive analytical expressions for the secrecy outage probability (SOP) of the MRCS and that of the noncooperative relay scheme (NCRS) by using the statistical characteristics of the signal-to-noise ratio (SNR). Specifically, we propose an optimal relay selection scheme to guarantee the security of the system for the MRCS. In addition, Monte Carlo simulation results are presented to confirm the accuracy of our analysis based on simulations of the secrecy performance under various system parameters, such as the positions and number of ERs, the EH time, and the EH efficiency coefficients. Finally, the simulation results show that the secrecy performance of our MRCS is higher than that of the NCRS and the traditional cooperative relay scheme (TCRS).
Nowadays, physical layer secrecy has become the new approach to enhance information security of wireless networks and have attracted the attention of lot of researchers in the world. This paper investigates the physical layer secrecy performance of radio frequency energy harvesting (RF-EH) networks over Rayleigh fading channels. The considered RF-EH system consists of multiple power transfer stations, one source and multiple destinations in the presence of multiple passive eavesdroppers. The best power transfer station and the best received signal at destination is selected among multiple power transfer stations and among multiple destinations respectively. By using statistical characteristics of the signal-to-noise ratio (SNR), the exact closed-form expressions of existence probability of secrecy capacity and secrecy outage probability are derived. Finally, simulation results confirm an agreement between our analysis and equivalent Monte-Carlo simulations.
This paper investigates the physical layer secrecy performance of radio frequency (RF) energy harvesting (EH) relaying networks based on the combination of time switching-adaptive power splitting (TSAPS) and best relay selection (BRS) schemes. Specifically, the system consists of one source, one destination and multiple energy-constrained decode-and-forward (DF) relays which help the source transmit information to the destination, in the presence of a passive eavesdropper. In this setting, the relays harvest RF energy from the source signal to power their relaying transmission, in which power splitting ratio self-adjustment policy and best relay selection scheme are utilized. To characterize the secrecy performance, the exact closed-form expressions of secrecy outage probability for random relay selection and best relay selection are derived. In addition, the comparison to random relay selection is presented to verify the efficiency in terms of secrecy outage probability of the proposed protocol. Finally, the numerical and simulation results are also provided to evaluate the impact of the key parameters on the secrecy performance and confirm the correctness of our analysis.
In this paper, the radio frequency energy harvesting (EH) and security issues in Internet of Things (IoT) sensor networks with multiple untrusted relays are considered. In particular, the communication protocol is divided into two phases. The first phase is used for EH, in which the IoT sensor nodes (SNs) and relays harvest energy from multiple power transfer stations. The second phase is used for information transmission in two steps: 1) the selected SN uses the harvested energy to broadcast information to the controller and the relays, and 2) the selected relay forwards information to the controller by applying the amplify-and-forward protocol to improve the quality of the communication between the SN and the controller. During information transmission, the controller is at risk of losing information because the relay may act as an eavesdropper (namely, an untrusted relay). Thus, to improve the secrecy performance of the considered system, we propose an optimal scheme, namely, best-sensor-best-untrusted-relay (BSBR) and compare this scheme with random-sensor-random-untrusted-relay and a threshold-based scheme. The closed-form expressions for the secrecy outage probability (SOP) and secrecy throughput (ST) are obtained and verified through Monte Carlo simulations to confirm the superior performance of our approach. EH time optimization and the target secrecy rate optimization algorithms are also proposed. In addition, the impacts of the EH time, the EH efficiency coefficient, the numbers of SNs and untrusted relays, and the target secrecy rate on the SOP and the ST are investigated. The results indicate that the BSBR generally outperforms the two baseline schemes in terms of the SOP and ST.
In this study, we investigate the physical layer secrecy performance of RF energy harvesting (EH) networks over Rayleigh fading channels. The RF-EH system considered here consists of one power transfer station, one source, one destination, and multiple passive eavesdroppers. The source harvests energy from the power transfer station and transmits the information to the destination by using a time switching-based relaying protocol. The eavesdroppers try to extract the transmitted information without an active attack. By using the statistical characteristics of the signal-to-noise ratio (SNR), the exact closed-form expressions of the existence probability of the secrecy capacity and the secrecy outage probability are derived. Further, we analyze the secrecy performance of the system with respect to various system parameters, such as the location of the system elements and the number of eavesdroppers. Finally, the equivalent Monte Carlo simulation results are provided to confirm the correctness of our calculations.
In this paper, we addressed improving the physical layer security (PLS) of an energy harvest- ing (EH)-based wireless network composed of a source node, which is operated by the harvested energy from the power beacon and sends secure information to a destination in the presence of an eavesdropper and a cooperative jammer (CJ). In particular, we provided an explicit transmit design for minimizing the secrecy outage probability (SOP), subject to a minimum secrecy rate constraint. The results show that support from a friendly jammer can significantly improve the reliabil- ity and security performance of the system. Addition- ally, we described the effects of particular factors on the optimal possible temporal distribution between informa- tion transmission and energy harvesting. As a result, when considering the SOP, we concluded that there ex- ists an optimal value of the time switching factor for the system to function well. The analytical formulas were verified by Monte Carlo simulation.