Knowledge-based edge computing framework based on CoAP and HTTP for enabling heterogeneous connectivity

Abstract

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.