A Joint Delay-Energy-Security Aware Framework for Intelligent Task Scheduling in Satellite-Terrestrial Edge Computing Network

TL;DR

This paper introduces a two-stage optimization framework for secure, delay, and energy-efficient task scheduling in satellite-terrestrial edge networks, balancing security and performance.

Contribution

It presents a novel joint delay-energy-security optimization framework with a heuristic algorithm for secure task scheduling in STECNs.

Findings

Framework achieves secure task scheduling with low delay and energy consumption.

Heuristic Mayfly Algorithm provides high-quality solutions efficiently.

Simulation results validate the framework's effectiveness in dynamic environments.

Abstract

In this paper, we propose a two-stage optimization framework for secure task scheduling in satellite-terrestrial edge computing networks (STECNs). The framework jointly considers secure user association and task offloading to balance transmission delay, energy consumption, and physical-layer security. To address the inherent complexity, we decouple the problem into two stages. In the first stage, a secrecy-aware user association strategy is designed by discretizing artificial noise (AN) power ratios and identifying feasible links that satisfy secrecy constraints, resulting in a set of candidate secure associations. In the second stage, we formulate a delay-energy-aware task scheduling problem as an integer linear program and solve it using a heuristic Mayfly Algorithm (MA) to obtain low-complexity, high-quality solutions. Extensive simulation results demonstrate the effectiveness and superiority of the proposed framework in achieving secure and efficient task scheduling under dynamic satellite environments.