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<p>The surging demand for Internet of Things applications requires efficient resource allocation and security robustness to safeguard sensitive data from eavesdropping threats. Hence, this article investigates the efficacy of secrecy data offloading in a system that employs unmanned aerial vehicle (UAV)-assisted mobile-edge computing. To concurrently enhance the system’s secure performance and mitigate the passive aerial eavesdropper (PAE)’s impact, the system incorporates a hybrid non-orthogonal multiple access (NOMA)-timedivision multiple access (TDMA) framework along with the deployment of a friendly jammer (FJ). To assess the system’s secrecy offloading performance, the closed-form expression of a metric termed secrecy successful computation probability (SSCP) is derived that considers the implications of imperfect channel state information (iCSI) and imperfect successive interference cancellation (iSIC) for practical model evaluation. Additionally, an optimization approach, grounded on Ananya algorithm, is formulated with the objective of maximizing SSCP by establishing UAV’s locations and altitude, the power-allocation ratio (PAR), and the offloading ratio. Numerical findings are implemented by considering a variety of parameters including the transmission power of edge devices (EDs) and FJ, iCSI–iSIC scenarios, UAV’s locations and altitude, task-bits lengths, the system bandwidth, fading parameters, the PAR, and the offloading ratio. Eventually, comparative findings demonstrate the hybrid NOMA-TDMA scenario’s superiority, while also highlighting Ananya algorithm effectiveness on enhancing the multi-user system’s secrecy offloading efficacy.</p>

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Secrecy Offloading of UAV-Assisted MEC Cooperative Hybrid NOMA-TDMA Framework with Friendly Jammer in IoT Network

  • 期刊论文

  • 发表日期：

    2025年5月1日

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  • Gia-Huy Nguyen,
  • Anh-Nhat Nguyen,
  • Khai Nguyen,
  • Tung-Son Ngo,
  • Ngoc-Anh Bui,
  • Phuong-Chi Le,
  • Manh-Duc Hoang,
  • Tien-Dat Trinh,
  • Tuan-Anh Hoang

摘要

The surging demand for Internet of Things applications requires efficient resource allocation and security robustness to safeguard sensitive data from eavesdropping threats. Hence, this article investigates the efficacy of secrecy data offloading in a system that employs unmanned aerial vehicle (UAV)-assisted mobile-edge computing. To concurrently enhance the system’s secure performance and mitigate the passive aerial eavesdropper (PAE)’s impact, the system incorporates a hybrid non-orthogonal multiple access (NOMA)-timedivision multiple access (TDMA) framework along with the deployment of a friendly jammer (FJ). To assess the system’s secrecy offloading performance, the closed-form expression of a metric termed secrecy successful computation probability (SSCP) is derived that considers the implications of imperfect channel state information (iCSI) and imperfect successive interference cancellation (iSIC) for practical model evaluation. Additionally, an optimization approach, grounded on Ananya algorithm, is formulated with the objective of maximizing SSCP by establishing UAV’s locations and altitude, the power-allocation ratio (PAR), and the offloading ratio. Numerical findings are implemented by considering a variety of parameters including the transmission power of edge devices (EDs) and FJ, iCSI–iSIC scenarios, UAV’s locations and altitude, task-bits lengths, the system bandwidth, fading parameters, the PAR, and the offloading ratio. Eventually, comparative findings demonstrate the hybrid NOMA-TDMA scenario’s superiority, while also highlighting Ananya algorithm effectiveness on enhancing the multi-user system’s secrecy offloading efficacy.