Health-Fots- A Latency Aware Fog Based IoT Environment and Efficient Monitoring of Body’s Vital Parameters in Smart Health Care Environment

Internet of Things (IoT) integrated with the disruptive technologies are becoming increasingly popular and they have extended their capabilities in all domains such as automotive, health care and automation. IoT is connecting the billions of devices and humans to bring the fruitful advantages to society. Since IoT devices are operated with the centralized cloud environment, pervasive and continuous monitoring of the user information can be facilitated. However, owing to the inherent characteristics of cloud, such as large end-to-end latency, larger bandwidth consumption, handling the larger volume of data from the IoT devices would be bottleneck for implementing the IoT for the smart health care system that aids for the treatment and diagnosis process. To address these issues, this research article proposes powerful paradigm, Heath-FoTs (Fog of things) which incorporates the fog devices where the data are processed and filtered near the IoT nodes which is useful for improving the quality of services. To further improve the speed of communication, distributed fogs are introduced between the IoT devices and Cloud to process the health care data and provides the optimal solution to tackle the latencies problems and bandwidth requirements. The complete experimentation is carried out using the NodeMCU and Raspberry Pi 3 Model in which the MQTT (Message Queuing Telemetry Transportation) protocol is used as the major communication protocol between the IoT and Fog Nodes. To evaluate the proposed model, performance metrics such as latency, throughput, and communication cost is measured and compared with the traditional environments. Results demonstrate the Health-FoTs environment has shown the promising performance with the 23% lesser latency, 32% higher throughputs and 25% less communication overhead than the traditional IoT infrastructure and proves its strong place for the high speed health care environment.

Authors

Publication Details

Journal
Journal of Intelligent Systems and Internet of Things
Published
2024-12-28
DOI
https://doi.org/10.54216/jisiot.150112
Citations
17
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
5.93
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article

Health-Fots- A Latency Aware Fog Based IoT Environment and Efficient Monitoring of Body’s Vital Parameters in Smart Health Care Environment

Dasari Madhavi, K Keerthi, Potu Narayana, L. Smitha et al.
17 citations
Journal of Intelligent Systems and Internet of Things
IoT and Edge/Fog Computing
5.93
article

Health-Fots- A Latency Aware Fog Based IoT Environment and Efficient Monitoring of Body’s Vital Parameters in Smart Health Care Environment

Dasari Madhavi, K Keerthi, Potu Narayana, L. Smitha, Aseel Smerat, Ponugoti Ponugoti, Muhannad Akram Nazzal
article en
17 citations

Abstract

Internet of Things (IoT) integrated with the disruptive technologies are becoming increasingly popular and they have extended their capabilities in all domains such as automotive, health care and automation. IoT is connecting the billions of devices and humans to bring the fruitful advantages to society. Since IoT devices are operated with the centralized cloud environment, pervasive and continuous monitoring of the user information can be facilitated. However, owing to the inherent characteristics of cloud, such as large end-to-end latency, larger bandwidth consumption, handling the larger volume of data from the IoT devices would be bottleneck for implementing the IoT for the smart health care system that aids for the treatment and diagnosis process. To address these issues, this research article proposes powerful paradigm, Heath-FoTs (Fog of things) which incorporates the fog devices where the data are processed and filtered near the IoT nodes which is useful for improving the quality of services. To further improve the speed of communication, distributed fogs are introduced between the IoT devices and Cloud to process the health care data and provides the optimal solution to tackle the latencies problems and bandwidth requirements. The complete experimentation is carried out using the NodeMCU and Raspberry Pi 3 Model in which the MQTT (Message Queuing Telemetry Transportation) protocol is used as the major communication protocol between the IoT and Fog Nodes. To evaluate the proposed model, performance metrics such as latency, throughput, and communication cost is measured and compared with the traditional environments. Results demonstrate the Health-FoTs environment has shown the promising performance with the 23% lesser latency, 32% higher throughputs and 25% less communication overhead than the traditional IoT infrastructure and proves its strong place for the high speed health care environment.

Journal of Intelligent Systems and Internet of ThingsVol. 15(1)
Openalex Percentile: Top 3%
IoT and Edge/Fog Computing
5.93
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