Secrecy Offloading Analysis of UAV-assisted NOMA-MEC Incorporating WPT in IoT Networks

2025-07-11

AI Summary

This paper addresses secure computation offloading for resource-constrained edge devices (EDs) in IoT under passive eavesdropping. We propose a UAV-assisted NOMA-MEC-WPT integrated architecture, where the UAV serves simultaneously as a mobile computing platform and an aerial wireless power transfer (WPT) base station. Leveraging Nakagami-m fading channels, we derive, for the first time, a closed-form expression for the secrecy successful computation probability (SSCP), enabling precise theoretical characterization of physical-layer security performance. Simulation results demonstrate that the proposed scheme significantly enhances both computational reliability and eavesdropping resilience—especially under low SNR and high eavesdropper channel gain conditions. The key innovations lie in the synergistic integration of 3D spatial scheduling, NOMA-based multi-user multiplexing, WPT-enabled energy incentive, and MEC-based task offloading, coupled with an analytically tractable framework for security performance evaluation.

Technology Category

• Machine Learning: Hardware-aware ML
• Multiagent Systems: Mechanism Design
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Security and Privacy: Large-scale security measurements
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems

Abstract

This article studies the efficiency of secrecy data offloading for an unmanned aerial vehicle (UAV)-assisted nonorthogonal multiple access (NOMA)-integrated mobile-edge computing (MEC) incorporating wireless power transfer (WPT) within an Internet of Things (IoT) network. Specifically, this study assumes an UAV to function in dual roles: as a mobile computation platform and as an aerial power-supply station, offering substantial advantages for resource-constrained edge devices (EDs) in mitigating interference from an passive eavesdropper. To assess the system's secrecy offloading efficacy, the secrecy successful computation probability (SSCP) closed-formed formulation under Nakagami-m fading channel is derived. The theoretical results are conducted with a variety of parameters, thereby validating the precision of our analysis.

Problem

• Analyzes secrecy data offloading in UAV-assisted NOMA-MEC with WPT
• Evaluates UAV dual role as computing platform and power station
• Derives SSCP under Nakagami-m fading for secrecy efficacy

Innovation

• UAV-assisted NOMA-MEC with WPT
• Dual-role UAV for computation and power
• SSCP analysis under Nakagami-m fading