SEANet（面向水下物联网的软件定义网络平台）的设计与性能评估
Design and Performance Evaluation of SEANet, a Software-defined Networking Platform for the Internet of Underwater Things
AI总结：
本文设计并评估软件定义声学调制解调器平台SEANet，通过全协议栈实时重配置与模块化宽带硬件，实现150 kbit/s水下通信及JANUS互操作。
摘要：
本文介绍了SEANet平台的设计与性能评估，该平台是一款软件定义声学调制解调器，旨在增强水下网络和水下物联网（IoUT）应用。针对传统声学调制解调器数据速率低、架构僵化的局限，SEANet引入了一个多功能、自适应框架，能够实时重新配置协议栈的所有层级，以适应多样化的海洋应用。该平台将高性能宽带数据转换器与模块化硬件和软件组件相集成，可实时适应不断变化的环境和运行条件。在海洋环境中开展的实验评估表明，SEANet的性能显著超越现有商用水下调制解调器，支持高达150 kbit/s的数据速率，并使传统系统的性能指标实际提升一倍。稳健测试还凸显了SEANet在信道估计、正交频分复用（OFDM）链路建立以及通过JANUS通信标准实现互操作性方面的熟练能力。研究结果强调了SEANet变革水下通信技术的潜力，可提供可扩展且高效的解决方案，支持高数据速率应用并推动IoUT部署的扩展。
英文摘要：
This paper presents the design and performance evaluation of the SEANet platform, a software-defined acoustic modem designed for enhancing underwater networking and Internet of Underwater Things (IoUT) applications. Addressing the limitations of traditional acoustic modems, which suffer from low data rates and rigid architectures, SEANet introduces a versatile, adaptive framework capable of reconfiguring all layers of the protocol stack in real-time to accommodate diverse marine applications. The platform integrates high-performance, wideband data converters with modular hardware and software components, enabling real-time adaptation to changing environmental and operational conditions. Experimental evaluations conducted in oceanic settings demonstrate the SEANet capability to significantly exceed the performance of existing commercial underwater modems, supporting data rates up to 150 kbit/s and effectively doubling the performance metrics of conventional systems. Our robust testing also highlights the SEANet proficiency in channel estimation, Orthogonal Frequency-Division Multiplexing (OFDM) link establishment, and interoperability through the JANUS communication standard. Our results underscore the SEANet potential to transform underwater communication technologies, providing a scalable and efficient solution that supports high data rate applications and fosters the expansion of IoUT deployments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
