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INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING

Secrecy Performance of Energy Harvesting Wireless Networks in the Presence of Multiple Eavesdroppers

Tien‐Vu Truong, Nhan-Van Vo, Dac‐Binh Ha, Duc‐Dung Tran

Published Jun 1, 2016• 0 citations
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Abstract

This paper investigates the physical layer secrecy performance of radio frequency energy harvesting wireless networks over Rayleigh fading channels. The considered RF-EH system consists of a power transfer station, a source and a destination in the presence of multiple passive eavesdroppers. By using statistical characteristics of the signal-to-noise ratio (SNR), the exact closed-form expressions of existence probability of secrecy capacity is derived. Finally, simulation results are provided to confirm the correctness of our calculation.

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This paper investigates the physical layer secrecy performance of radio frequency energy harvesting wireless networks over Rayleigh fading channels. The considered RF-EH system consists of a power transfer station, a source and a destination in the presence of multiple passive eavesdroppers. By using statistical characteristics of the signal-to-noise ratio (SNR), the exact closed-form expressions of existence probability of secrecy capacity is derived. Finally, simulation results are provided to confirm the correctness of our calculation.
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.
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.
The transfer of energy via radio frequency (RF) is the new solution for prolonging the lifetime of wireless networks. This paper investigates the secrecy performance of RF energy harvesting system that consists of one power transfer station, multiple power-constrained information sources and one destination in the presence of one eavesdropper over Rayleigh fading channels. To do so, the exact closed-form expressions of existence probability of secrecy capacity and secrecy outage probability are derived by using statistical characteristics of signal-to-noise ratio (SNR). The numerical results show a quite agreement between numerical analysis and equivalent Monte-Carlo simulations.
This paper investigates the impact of power transfer station selection on the physical layer secrecy performance of radio frequency energy harvesting (EH) networks. The best power transfer station is selected among multiple power transfer stations in EH networks to increase the harvested power of energy constrained users. The exact closed-form expressions of existence probability of secrecy capacity and secrecy outage probability are derived based on using statistical characteristics of Rayleigh fading channels. Numerical and simulation results are presented to confirm the correctness of our analysis.
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.
This paper proposes a secure wireless communication system that integrates Physical Layer Security (PLS) with Energy Harvesting (EH) to improve both data confidentiality and network sustainability. The system model consists of a source node S, powered by energy harvested from spatially distributed power stations, a multi-antenna destination node D, and an eavesdropper node E located within the communication range. A time-switching protocol enables the source node S to alternate between energy harvesting and secure data transmission. To enhance signal quality and system security, the destination node D employs Selection Combining (SC) and Maximal Ratio Combining (MRC) techniques to mitigate fading effects and eavesdropping risks. Analytical expressions for the Signal-to-Noise Ratios (SNRs) at both the destination D and the eavesdropper E are derived, along with the Probability Density Function (PDF) and Cumulative Distribution Function (CDF) of these SNRs under block Rayleigh fading conditions. Furthermore, an exact analytical formulation for Secrecy Outage Probability (SOP) is presented, quantifying the probability of information leakage under various system configurations. The proposed model is validated through extensive Monte Carlo simulations, which confirm the accuracy of the mathematical analysis of SOP. Based on simulation results, the impact of key system parameters—such as energy harvesting efficiency η, time-switching protocol parameter α, the number of antennas M at the destination node, and the number of beacon nodes N—on SOP is analyzed. The results provide valuable insights for optimizing secure and energy-efficient communication in wireless networks.