The papers in this special section focus on the topic of green industrial Internet of Things (IIoT). These papers aim to consolidate the current state of the art in terms of fundamental research ideas and network engineering, geared toward exploiting greenness of IIoT. The IIoT is a new ecosystem that combines intelligent and autonomous machines, advanced predictive analytics, and machine–human collaboration to improve productivity, efficiency, and reliability. IIoT connects billions of mobile digital devices, manufacturing machines, industrial equipment, etc., and generates an unprecedented volume of industrial data. The gap between the rapidly growing demands of data rate and existing bandwidth-limited network infrastructures has become ever prominent. Moreover, the interaction and connection of things in IIoT will consume substantial energy in contrast with limited energy storage of the things. Therefore, the greenness of IIoT is crucial for the success of IIoT. In particular, with the prevalence of mobile devices, electronic devices, cameras, social networks, social media, etc., ourworld is generating big data and multimedia big data, which further aggregate the energy demand in terms of the data transmission and processing of IIoT.

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客座社论：绿色工业物联网

本节中的论文重点讨论绿色工业物联网（IIoT）的主题。这些论文旨在通过基础研究思想和网络工程来巩固当前的最新技术水平，以开发IIoT的绿色为目标。IIoT是一个新的生态系统，它将智能和自主机器，高级预测分析以及人机协作相结合，以提高生产率，效率和可靠性。IIoT连接数十亿个移动数字设备，制造机器，工业设备等，并产生前所未有的工业数据量。数据速率的快速增长的需求与现有的带宽受限的网络基础设施之间的差距变得越来越突出。而且，与物联网有限的储能相比，物联网中物的交互和连接将消耗大量能源。因此，IIoT的绿色对于IIoT的成功至关重要。尤其是随着移动设备，电子设备，相机，社交网络，社交媒体等的普及，我们的世界正在生成大数据和多媒体大数据，这进一步聚集了IIoT数据传输和处理方面的能源需求。