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Secrecy Performance Analysis of Integrated RF-UWOC IoT Networks Enabled by UAV and Underwater-RIS

Abrar Bin Sarawar, A. S. M. Badrudduza, Md. Ibrahim, Imran Shafique Ansari, Heejung Yu

TL;DR

This study investigates the secrecy performance of IoT networks that integrate radio frequency UAV-based NTNs and underwater optical wireless communication (UOWC) with RISs and offers comprehensive design guidelines for network deployment aiming to enhance secrecy performance and ensure secure communication in diverse and challenging environments.

Abstract

In the sixth-generation (6G) Internet of Things (IoT) networks, the use of UAV-mounted base stations and reconfigurable intelligent surfaces (RIS) has been considered to enhance coverage, flexibility, and security in non-terrestrial networks (NTNs). In addition to aerial networks enabled by NTN technologies, the integration of underwater networks with 6G IoT can be considered one of the most innovative challenges in future IoT. Along with such trends in IoT, this study investigates the secrecy performance of IoT networks that integrate radio frequency (RF) UAV-based NTNs and underwater optical wireless communication (UOWC) links with an RIS. Considering three potential eavesdropping scenarios (RF signal, UOWC signal, and both), we derive closed-form expressions for secrecy performance metrics, including average secrecy capacity, secrecy outage probability, probability of strictly positive secrecy capacity, and effective secrecy throughput. Extensive numerical analyses and Monte Carlo simulations elucidate the impact of system parameters such as fading severity, the number of RIS reflecting elements, underwater turbulence, pointing errors, and detection techniques on system security. The findings offer comprehensive design guidelines for developing such a network aiming to enhance secrecy performance and ensure secure communication in diverse and challenging environments.

Secrecy Performance Analysis of Integrated RF-UWOC IoT Networks Enabled by UAV and Underwater-RIS

TL;DR

This study investigates the secrecy performance of IoT networks that integrate radio frequency UAV-based NTNs and underwater optical wireless communication (UOWC) with RISs and offers comprehensive design guidelines for network deployment aiming to enhance secrecy performance and ensure secure communication in diverse and challenging environments.

Abstract

In the sixth-generation (6G) Internet of Things (IoT) networks, the use of UAV-mounted base stations and reconfigurable intelligent surfaces (RIS) has been considered to enhance coverage, flexibility, and security in non-terrestrial networks (NTNs). In addition to aerial networks enabled by NTN technologies, the integration of underwater networks with 6G IoT can be considered one of the most innovative challenges in future IoT. Along with such trends in IoT, this study investigates the secrecy performance of IoT networks that integrate radio frequency (RF) UAV-based NTNs and underwater optical wireless communication (UOWC) links with an RIS. Considering three potential eavesdropping scenarios (RF signal, UOWC signal, and both), we derive closed-form expressions for secrecy performance metrics, including average secrecy capacity, secrecy outage probability, probability of strictly positive secrecy capacity, and effective secrecy throughput. Extensive numerical analyses and Monte Carlo simulations elucidate the impact of system parameters such as fading severity, the number of RIS reflecting elements, underwater turbulence, pointing errors, and detection techniques on system security. The findings offer comprehensive design guidelines for developing such a network aiming to enhance secrecy performance and ensure secure communication in diverse and challenging environments.
Paper Structure (35 sections, 3 theorems, 59 equations, 12 figures)

This paper contains 35 sections, 3 theorems, 59 equations, 12 figures.

Table of Contents

  1. Introduction
  2. Background
  3. Literature Review
  4. Motivation and Contribution
  5. Organization
  6. System Model
  7. Problem Formulation
  8. SNRs of UAV-aided RF NTN Links
  9. SNRs of RIS-aided UOWC Links
  10. SNR of Dual-hop Link
  11. Statistics of UAV-aided RF NTN Links
  12. Statistics of RIS-aided UOWC Links
  13. Statistics of Dual-hop Link
  14. Average Secrecy Capacity
  15. Derivation of $\mathfrak{R}_{1}$
  16. ...and 20 more sections

Key Result

lemma 1

The PDF of $\gamma_{j}$ can be expressed as where $K_{1_{j}}=\frac{1}{\alpha_{j}e^{L_{j}\mu_{j}\kappa_{j}}}C_{i_{j}}V_{j}(k_{j},p,L_{j}\mu _{j}-1)\left (L_{j}\mu_{j}\kappa_{j} \right )^{k_{j}}$, $K_{2_{j}}=\frac{B_{j}D_{j}^{\alpha_{j}}}{\varrho_{j}L_{j}\bar{\gamma_{j}}}$, and $\Psi_{i_{j}}=\frac{1}{\alpha_{j}}\left ( \beta_{i_{j}}+1 \right )

Figures (12)

  • Figure 1: System model incorporating a source ($\mathcal{S}$), a relay ($\mathcal{R}$), an RIS ($\mathcal{I}$), a destination ($\mathcal{D}$) and two eavesdroppers ($\mathcal{E}$ and $\mathcal{\tilde{E}}$).
  • Figure 2: The $SOP^{I}$ versus $\bar{\gamma}_{R}$ for selected values of $\mu_{R}$, $\mu_{\mathcal{E}}$ and $\bar{\gamma}_{\mathcal{D}}$.
  • Figure 3: The $ASC^{I}$ versus $\bar{\gamma}_{R}$ for selected values of $\kappa_{\mathcal{E}}$.
  • Figure 4: The $ASC^{I}$ versus $\bar{\gamma}_{R}$ for selected values of $D_{R}$, $D_{\mathcal{E}}$ and $\bar{\gamma}_{\mathcal{E}}$.
  • Figure 5: The $SOP^{I}$ versus $\bar{\gamma}_{\mathcal{D}}$ for selected values of $L_{R}$ and $L_{\mathcal{E}}$.
  • ...and 7 more figures

Theorems & Definitions (12)

  • remark 1
  • remark 2
  • remark 3
  • lemma 1
  • lemma 2
  • lemma 3
  • remark 4
  • remark 5
  • remark 6
  • remark 7
  • ...and 2 more