Systems Engineering and Computer Science Program/COPPE, Federal University of Rio de Janeiro, Rio de Janeiro 21941-590, Brazil.
Federal Institute of Rio de Janeiro, Niterói Campus, Niterói 24315-375, Brazil.
Sensors (Basel). 2021 Jan 14;21(2):568. doi: 10.3390/s21020568.
The paradigm of the Internet of everything (IoE) is advancing toward enriching people's lives by adding value to the Internet of things (IoT), with connections among people, processes, data, and things. This paper provides a survey of the literature on IoE research, highlighting concerns in terms of intelligence services and knowledge creation. The significant contributions of this study are as follows: (1) a systematic literature review of IoE taxonomies (including IoT); (2) development of a taxonomy to guide the identification of critical knowledge in IoE applications, an in-depth classification of IoE enablers (sensors and actuators); (3) validation of the defined taxonomy with 50 IoE applications; and (4) identification of issues and challenges in existing IoE applications (using the defined taxonomy) with regard to insights about knowledge processes. To the best of our knowledge, and taking into consideration the 76 other taxonomies compared, this present work represents the most comprehensive taxonomy that provides the orchestration of intelligence in network connections concerning knowledge processes, type of IoE enablers, observation characteristics, and technological capabilities in IoE applications.
万物互联网（IoE）的范例通过为物联网（IoT）增值来丰富人们的生活，实现人与人、人与过程、人与数据、人与物、物与过程、物与物以及数据与数据之间的连接。本文对 IoE 研究文献进行了调查，重点关注智能服务和知识创造方面的问题。本研究的主要贡献如下：（1）对包括物联网在内的 IoE 分类法进行了系统的文献回顾；（2）开发了一个分类法，用于指导识别 IoE 应用中的关键知识，对 IoE 推动者（传感器和执行器）进行深入分类；（3）使用 50 个 IoE 应用对定义的分类法进行了验证；（4）根据知识流程的见解，确定了现有 IoE 应用（使用定义的分类法）中的问题和挑战。据我们所知，考虑到比较的 76 个其他分类法，本工作代表了最全面的分类法，它提供了有关知识流程、IoE 推动者的类型、观察特征以及 IoE 应用中的技术能力的网络连接中的智能编排。
