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Title	Comprehensive Analysis On Low Power Health Monitoring System Using Fog Computing In Passive Optical Networks
ID_Doc	15298
Authors	Praveen Kumar A.; Reddy C.
Year	2022
Published	6th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2022 - Proceedings
DOI	http://dx.doi.org/10.1109/I-SMAC55078.2022.9987329
Abstract	This Health-related problem is now seen as crucial to people that smart health care is developing to address them. Information and Communication Technologies (ICT) will give reasonable solutions in healthcare, education, smart agriculture, intelligent vehicles, smart cities, and so on; energy-efficient and secure networking models are required. There are modern sustainable computing solutions for e-healthcare applications that rely on cloud computing and the Internet of Things (IoT). This approach also increases the overall expenses for treating patients and the protracted treatment of such patients. According to various studies, the amount of energy consumed in transmitting data from IoT devices to a Cloud server is significantly high and results in quick energy depletion. Fog computing technology is best suited for real-time applications in which low latency, less energy consumption, and increased response time are of the utmost importance, especially for healthcare applications. Our research mainly focuses on passive optical Networks. This article demonstrates fog computing methodologies in passive optical networks. © 2022 IEEE.
Author Keywords	Energy efficiency; latency; Optical line terminal (OLT); Optical Network Unit (ONU); PON (Passive optical Networks)

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