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
翻译:智能化的Iot环境(iIote)由多种设备组成,能够合作实施半自主的IoT应用,其中的例子包括高度自动化的制造电池或自动互动的采集机;在这种边缘环境中,能源效率是关键所在,因为能源效率往往基于由无线和电池运行装置(如电子吸引器、无人驾驶飞机、自动制导飞行器和机器人)组成的基础设施;能源总消耗吸收了多种iote技术的贡献,这些技术能够进行边际计算和通信,分布式学习,以及分布式分类账和智能合同;本文对这些技术提供了最新的最新概览,并说明了其功能和性能,特别注意资源、延时、隐私和能源消耗之间的权衡。最后,该文件提出了将这些赋能技术纳入节能iIoTe的愿景,并提出了应对公开研究挑战的路线图。