物联网的核心本质——数据联网

Kernel of Internet of Things: Internet of Data

物联网是各种智能设备、传感器及计算器件以自动控制方式集合起来的网络。在物联网中,大规模的设备将产生大量数据传输至中心系统进行处理,因此,物联网技术的关键在于找到高效的数据处理方法。研究了物联网实现中面临的主要数据难题,包括收集低功率数据、快速传输数据、准确分析数据和及时反馈数据等,并将数据作为实体组成了新的网络—数据联网。数据联网是物联网的核心本质,尤其在数据密集的应用中具有很强的研究价值。详细介绍了数据联网的概念和主要挑战,同时提出了一些可以应用在数据联网中的成熟技术,如大数据、数据挖掘及人工智能等。

The Internet of Things(IoT) is a collection of devices, sensors and computing capabilities that enable intelligent command and control across vast regions in an automated manner, where data is generated by large-scaled devices and often sent to a centralized system for processing. Therefore, for IoT scenarios, it is important to have an efficient way to collect data at low power, transmit them in very short time, process them in close to real time, and send back the results of this processing. The main data problems in IoT are investigated, and the data entities are organized to form a network, coined as the Internet of Data(Io D), which has huge potential in data-intensive applications. To better understand Io D, the basic concept and main challenges of Io D are also stated. Meanwhile, to provide more detailed understanding, some feasible techniques that can be used in Io D are also explored, like big data, data mining and artificial intelligence, which are all hot research areas and have been studied extensively in recent years.