RIoT Digital Twin: Modeling, Deployment, and Optimization of Reconfigurable IoT System with Optical-Radio Wireless Integration
Alaa Awad Abdellatif, Sergio Silva, Eduardo Baltazar, Bruno Oliveira, Senhui Qiu, Mohammud J. Bocus, Kerstin Eder, Robert J. Piechocki, Nuno T. Almeida, Helder Fontes
本文提出了优化的可重新配置物联网(RIoT)框架,该框架集成了光学和无线电无线技术,重点是能源效率、可扩展性和适应性。 为了解决混合光辐射环境的内在复杂性,在网络模拟器3(NS-3)平台内开发了高保真数字孪生(DT)。 DT模型部署了RIoT架构的子系统,包括射频(RF)通信,光无线通信(OWC)以及实现自主运行的能量收集和消耗机制。 还纳入目标硬件平台的实时能量和功率测量,以确保准确表示物理行为,并实现运行时分析和优化。 在这一基础上,制定了积极的跨层优化策略,以平衡能源效率和服务质量(QoS)。 该策略通过调整传输速率、唤醒/睡眠调度和访问技术选择来动态重新配置 RIoT 节点。 结果表明,拟议的框架结合了数字孪生技术、混合光-无线电集成和数据驱动的能源建模,大大增强了6G物联网网络的性能、弹性和可持续性。
This paper proposes an optimized Reconfigurable Internet of Things (RIoT) framework that integrates optical and radio wireless technologies with a focus on energy efficiency, scalability, and adaptability. To address the inherent complexity of hybrid optical-radio environments, a high-fidelity Digital Twin (DT) is developed within the Network Simulator 3 (NS-3) platform. The DT models deploy subsystems of the RIoT architecture, including radio frequency (RF) communication, optical wireless commu...