智能IoT环境中的学习、计算和可信度：性能-能量权衡
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs
摘要：
智能物联网环境（iIoTe）由可以协作执行半自主物联网应用的异构设备组成，其示例包括高度自动化的制造单元或自主交互的收获机器。在这种边缘环境中，能源效率是关键，因为它们通常基于由无线和电池供电设备组成的基础设施，例如，电动拖拉机、无人机、自动导引车（AGV）和机器人。总能耗来自多种物联网技术的贡献，这些技术实现了边缘计算和通信、分布式学习以及分布式账本和智能合约。本文提供了这些技术的最新概述，并说明了它们的功能和性能，特别关注资源、延迟、隐私和能耗之间的权衡。最后，本文提供了将这些使能技术集成到节能iIoTe中的愿景，以及解决开放研究挑战的路线图
英文摘要：
An Intelligent IoT Environment (iIoTe) is comprised of heterogeneous devices that can collaboratively execute semi-autonomous IoT applications, examples of which include highly automated manufacturing cells or autonomously interacting harvesting machines. Energy efficiency is key in such edge environments, since they are often based on an infrastructure that consists of wireless and battery-run devices, e.g., e-tractors, drones, Automated Guided Vehicle (AGV)s and robots. The total energy consumption draws contributions from multipleiIoTe technologies that enable edge computing and communication, distributed learning, as well as distributed ledgers and smart contracts. This paper provides a state-of-the-art overview of these technologies and illustrates their functionality and performance, with special attention to the tradeoff among resources, latency, privacy and energy consumption. Finally, the paper provides a vision for integrating these enabling technologies in energy-efficient iIoTe and a roadmap to address the open research challenges
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。
