Over the last decades, Internet of Things-based applications have become increasingly popular among many researchers and companies in developing a comfortable and safe lifestyle for people. Currently, many Internet of Things-based systems are providing extensive benefits to our daily lifestyle, although low power, failure in connectivity, and lack of computing knowledge are major challenges within heterogeneous devices. As the number of Internet-connected devices exponentially increases, the effectiveness of cloud computing is reaching its limits in terms of scalability and accessibility. The concept of edge computing allows the overload of the cloud to be reduced and provides remarkable advantages for Internet of Things systems. This paper proposes the design and implementation of a knowledge-based edge computing framework for enabling heterogeneous connectivity in Internet of Things networks. EdgeX is used as the edge computing platform, while Hypertext Transfer and Constrained Application Protocols are utilized as communication protocols for the proposed framework. Several experiments have been carried out in order to evaluate the effectiveness of the proposed design and implementation.

在过去的几十年中，基于物联网的应用程序在为人们开发一种舒适安全的生活方式方面越来越受到许多研究人员和公司的欢迎。当前，尽管低功耗，连接故障以及缺乏计算知识是异构设备中的主要挑战，但许多基于物联网的系统正在为我们的日常生活提供广泛的好处。随着互联网连接设备数量的成倍增加，云计算的有效性在可伸缩性和可访问性方面已达到极限。边缘计算的概念可以减少云的过载，并为物联网系统提供显着的优势。本文提出了一个网络的设计与实现。基于知识的边缘计算框架，用于在物联网网络中实现异构连接。EdgeX被用作边缘计算平台，而超文本传输​​和受限应用协议被用作所提出框架的通信协议。为了评估所提出的设计和实施的有效性，已经进行了一些实验。