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Design, Analysis, and Hardware Emulation of a Novel Energy Conservation Scheme for Sensor Enhanced FiWi Networks (ECO-SFiWi)

机译:传感器增强型FiWi网络(ECO-SFiWi)的新型节能方案的设计,分析和硬件仿真

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Fiber-wireless sensor networks (Fi-WSNs) composed of a hybrid fiber-wireless (FiWi) network enhanced with sensors will play a key role in supporting machine-to-machine (M2M) communications to enable a wide range of Internet of Things (IoT) applications, of which smart grids represent an important real-world example. This paper explores opportunities of designing an energy-efficient Fi-WSN based on EPON/10G-EPON, WLAN, wireless sensors, and passive fiber optic sensors as a shared communications infrastructure for broadband services and smart grids. A novel energy conservation scheme for sensor enhanced FiWi networks (ECO-SFiWi) is proposed to reduce the overall energy consumption. ECO-SFiWi maximizes energy efficiency by leveraging TDMA to schedule power-saving modes of EPON’s optical network units, wireless stations, and wireless sensors and incorporate them into EPON’s bandwidth allocation algorithm. To study the performance, a comprehensive energy saving model and a delay analysis of both FiWi traffic and sensor data based on M/G/1 queue modeling are presented. FPGA-based hardware emulation and demonstration are performed to verify the effectiveness of the proposed solution. Results provide deep insights into the tradeoff between energy savings and frame delays. Noticeably, ECO-SFiWi achieves significant amounts of energy saving, while maintaining low delay for FiWi traffic and sensor data under typical deployment scenarios.
机译:由混合无线网络(FiWi)和传感器增强而成的无线传感器网络(Fi-WSN)将在支持机器对机器(M2M)通信以实现广泛的物联网(物联网)应用,其中智能电网代表了一个重要的现实世界示例。本文探讨了基于EPON / 10G-EPON,WLAN,无线传感器和无源光纤传感器设计节能的Fi-WSN的机会,作为宽带服务和智能电网的共享通信基础架构。提出了一种用于传感器增强型FiWi网络的新型节能方案(ECO-SFiWi),以减少总体能耗。 ECO-SFiWi通过利用TDMA安排EPON的光网络单元,无线站和无线传感器的节能模式并将其纳入EPON的带宽分配算法中,从而最大程度地提高了能效。为了研究性能,提出了基于M / G / 1队列建模的综合节能模型以及FiWi交通和传感器数据的延迟分析。执行基于FPGA的硬件仿真和演示,以验证所提出解决方案的有效性。结果为节能与帧延迟之间的折衷提供了深刻的见解。值得注意的是,ECO-SFiWi可以节省大量能源,同时在典型部署情况下,保持FiWi流量和传感器数据的低延迟。

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