Knowledge-based edge computing framework based on CoAP and HTTP for enabling heterogeneous connectivity
- PDF / 3,594,987 Bytes
- 16 Pages / 595.224 x 790.955 pts Page_size
- 20 Downloads / 204 Views
ORIGINAL ARTICLE
Knowledge-based edge computing framework based on CoAP and HTTP for enabling heterogeneous connectivity Rongxu Xu1
· Wenquan Jin2 · Do Hyeun Kim1
Received: 16 February 2019 / Accepted: 27 July 2020 © Springer-Verlag London Ltd., part of Springer Nature 2020
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. Keywords Internet of Things · Edge computing · EdgeX
1 Introduction The Internet of Things (IoT) is becoming a promising technology with the explosive development of networks, microcomputers, transceivers, digital communicators, and sensor devices. The potential of the IoT is becoming increasingly known worldwide, as gradually more devices become connected to the Internet, attracting significant attention and investment from industry and academia. The IoT includes an extensive range of research areas. For instance, the smart home [1] is an automated home with installed sensor and actuator devices, allowing an owner to Do Hyeun Kim
[email protected] Rongxu Xu [email protected] Wenquan Jin [email protected] 1
Department of Computer Engineering, Jeju National University, Jeju, 63243, Korea
2
Bigdata Research Center, Jeju National University, Jeju, 63243, Korea
monitor the home environment and control these devices by mobile phone or via computer through user-friendly interfaces. The smart farm [2] concept helps farmers to efficiently manage their greenhouses to contribute to the increase of agricultural production, as well as monitor embedded devices that can control the management of energy usage and workforces, among other things. A smart city [3] is designed for the betterment of the life quality of the people who live there. According to statistical data from Cisco, the number of things connected to the Internet will reach 50 billion by 2020 [4]. One can predict that the IoT will continue to be a promising technology in the futu
Data Loading...
