Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/13316
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dc.contributor.authorMondal, Ayanen_US
dc.date.accessioned2024-03-19T12:57:03Z-
dc.date.available2024-03-19T12:57:03Z-
dc.date.issued2024-
dc.identifier.citationSarkar, J. L., Peng, S.-L., Deb, S., Muthaiah, U., Mondal, A., & Gopal, G. V. (2024). SAHA: An SDN Enabled Fog Architecture for Healthcare Applications. ACM International Conference Proceeding Series. Scopus. https://doi.org/10.1145/3631461.3632519en_US
dc.identifier.isbn979-8400716737-
dc.identifier.otherEID(2-s2.0-85184281302)-
dc.identifier.urihttps://doi.org/10.1145/3631461.3632519-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/13316-
dc.description.abstractIn 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. © 2024 ACM.en_US
dc.language.isoenen_US
dc.publisherAssociation for Computing Machineryen_US
dc.sourceACM International Conference Proceeding Seriesen_US
dc.subjectFog nodeen_US
dc.subjectHealthcareen_US
dc.subjectSDN controlleren_US
dc.subjectWBANen_US
dc.titleSAHA: An SDN Enabled Fog Architecture for Healthcare Applicationsen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Computer Science and Engineering

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