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Secrecy Analysis of Energy-Harvesting Backscatter Communication Networks with Multiple Eavesdroppers and Different Tag Selection Schemes

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Abstract

Addressing the vulnerability of multiple eavesdroppers, the challenge of energy harvesting by tags, and the secure transmission requirements in backscatter communication (BackCom) networks, this article investigates the secrecy performance of a passive BackCom network comprising a source, a destination, and multiple tags in the presence of multiple eavesdroppers. We propose four tag selection schemes namely optimal tag selection (OTS), suboptimal tag selection (STS), minimal eavesdropping tag selection (MTS), and random tag selection (RTS) to exploit diversity in delivering information securely from the source to the destination. The OTS scheme relies on complete channel state information (CSI), whereas STS and MTS utilize partial CSI, reducing their complexity compared to the OTS. The RTS scheme employs arbitrary random tag selection without relying on any CSI, serving as a baseline for performance comparison. The secrecy outage probability (SOP) and the ergodic secrecy rate (ESR) are employed as metrics to evaluate the secrecy performance of the system. We present generalized and unified approaches to derive closed-form expressions for SOP and ESR. Additionally, asymptotic closed-form expressions for SOP and ESR are derived for all tag selection schemes, providing valuable insights into the system's performance with respect to different parameters. Numerical simulation results reveal that, in general, the OTS scheme achieves superior secrecy performance compared to the other selection schemes. However, for a relatively small number of tags, the STS scheme performs comparably to the OTS, making it a cost-effective alternative. It is noteworthy that, for the same level of complexity, the MTS exhibits poor performance when compared to STS and OTS. This makes STS a suitable choice over OTS and MTS, offering an effective balance between the complexity and performance. We further demonstrate the effect of the number of tags, the number of eavesdroppers, and path loss parameters on SOP and ESR performances for the BackCom network under consideration.

Original languageEnglish
Pages (from-to)1991-2005
Number of pages15
JournalIEEE Transactions on Green Communications and Networking
Volume9
Issue number4
Early online date21 Apr 2025
DOIs
Publication statusPublished (in print/issue) - 30 Dec 2025

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Funding

This work was supported in part by the Prime Minister’s Research Fellows (PMRF) Scheme, Ministry of Education, Government of India, and in part by the Ministry of Electronics and Information Technology (MeitY), Government of India through its Project SwaYaan-Capacity Building in Drone/UAS under Grant L14011/29/2021-HRD.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • Jamming
    • Closed-form solutions
    • Backscatter
    • Optimization
    • Energy harvesting
    • probability
    • Power system reliability
    • Internet of Things
    • Eavesdropping
    • Complexity theory
    • secrecy outage probability
    • energy harvesting
    • backscatter communication
    • ergodic secrecy rate
    • Asymptotic analysis
    • tag selection

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