
开发了优化与控制策略,以降低可再生能源驱动的 IoT 网络中的服务延迟
Dec 7, 2024

Developed optimization and control strategies to reduce service latency in renewable-powered IoT networks
Dec 7, 2024
本科毕业论文提出了一种面向太阳能供电 IoT 网络的两阶段优化框架,重点研究动态任务分配和能量感知的函数配置。开发了 MILP 基准测试和基于 GMM 增强的 Receding Horizon Control 算法,以提升效率并适应波动的能量和计算条件。
Apr 30, 2024
This undergraduate thesis proposes a two-phase optimization framework for solar-powered IoT networks, focusing on dynamic task allocation and energy-aware function configuration. A MILP benchmark and a GMM-enhanced Receding Horizon Control algorithm were developed to improve efficiency and adapt to fluctuating energy and computation conditions.
Apr 30, 2024

提出了一种新颖的基于 MILP 和 Digital Twin 的控制策略,用于优化近似 IoT 任务执行中的能耗。
Jan 7, 2024

Proposed a novel MILP and Digital Twin-based control strategy for optimizing energy use in approximate IoT task execution.
Jan 7, 2024