Publication Type : Conference Proceedings
Publisher : ACM
Source : International Conference on Distributed Computing and Networking
Url : https://dl.acm.org/doi/abs/10.1145/3631461.3632519
Campus : Chennai
School : School of Computing
Year : 2024
Abstract : In this paper, a software-defined Fog architecture is suggested to initiate an immediate course of treatment for a patient. Sensors on a patient outfitted with various sensors can read physiological data. This work uses two types of queries such as strict and flexible queries. Strict inquiries are used when an emergency is recognised due to a patient’s criticality. Non-emergency queries are referred to as flexible inquiry. The strict queries are executed at a nearby edge node, and the data is sent to the fog node via a switch or SDN controller. Instead, a patient can move for treatment depending on the proximity of medical professionals, the quality of the facilities, and the travel time. The task of determining availability falls to a Local Medical Team (LMT). It is also the responsibility of a Global Medical Team (GMT) to keep track of the patient’s health and provide the LMT with any information that is required. We can observe from the outcomes that the suggested algorithm outperforms the baseline algorithms.
Cite this Research Publication : Joy Lal Sarkar,Sheng-Lung Peng,Subhrajyoti Deb,Muthaiah U,Ayan Mondal,Gaddam Venu Gopal, SAHA: An SDN Enabled Fog Architecture for Healthcare Applications,Proceedings of the 25th International Conference on Distributed Computing and Networking,2024.