Edge Computing in SDN-Enabled IoT-Based Healthcare Frameworks

Autor: Malaram Kumhar, Jitendra B. Bhatia
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Reliable and Quality E-Healthcare. 11:1-15
ISSN: 2160-956X
2160-9551
DOI: 10.4018/ijrqeh.308804
Popis: Millions of smart devices and sensors continuously produce and transmit data to control real-world infrastructures using complex networks in the internet of things (IoT). These devices have limited computing, processing, storage, and communication resources to perform time-critical and rigorous computing tasks. Edge computing has emerged as a new model to resolve the above problems by performing computation near IoT devices. The IoT revolution is reshaping the modern healthcare system with promising technological, economic, and social prospects. IoT in healthcare not only helps patients but also doctors to monitor the patient's health condition from a remote place. Software-defined networking (SDN) is an effective and promising solution to overcome issues such as IoT device management, control, interoperability, and maintenance. In this paper, the authors perform an extensive survey to analyze the role of SDN and edge computing in healthcare. Finally, the paper is concluded with the ongoing research on SDN and edge computing to solve various issues in IoT based healthcare domain.
Databáze: OpenAIRE