In this paper, the secrecy performance of the two-user simultaneous wireless information and power transfer (SWIPT) sensor networks is studied and a novel secure transmission scheme of cooperative zero-forcing (ZF) jamming is proposed. The two sensors opportunistically conduct the SWIPT and cooperative ZF jamming, respectively, where the energy required for jamming the eavesdropper is provided by the SWIPT operation so as to keep the energy balance at the sensors in the long run. By deriving the exact closed-form expressions of the secrecy outage probability and the secrecy throughout, we provide an effective approach to precisely assess the impacts of key parameters on the secrecy performance of the system. It has been shown that the secrecy outage probability is a monotonically increasing function of the growth of secrecy rate ( R s ), and a monotonically decreasing function of the increase of the transmit signal-to-noise ratio ( γ S ), and energy conversion efficiency ( η ). Furthermore, the secrecy throughput could be enhanced when η increases, which becomes especially obvious when a large γ S is provided. Moreover, the existence of an optimum R s maximizing the secrecy throughput is depicted, which also grows with the increase of γ S . Simulations are provided for the validation of the analysis.
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http://dx.doi.org/10.3390/s18020331 | DOI Listing |
Int J Med Robot
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Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
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Arch Virol
January 2025
Department of Virology, National Institute of Health (NIH), 45500, Park Rd, Chak Shahzad, Islamabad, Pakistan.
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View Article and Find Full Text PDFLancet Reg Health Eur
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Bristol Medical School, University of Bristol, Bristol, UK.
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Int J Parasitol Parasites Wildl
April 2025
Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada.
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View Article and Find Full Text PDFHeliyon
January 2025
School of Economics and Statistics, Guangzhou University, Guangzhou, 510006, China.
This study investigates the feasibility and effectiveness of integrating Attribute-Based Encryption (ABE) into smart healthcare networks, with a particular focus on its role in enhancing anti-corruption mechanisms. The study provides a comprehensive analysis of current vulnerabilities in these networks, identifying potential data security risks. An anti-corruption mechanism is designed to ensure data integrity and reliability.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!