Have a personal or library account? Click to login
Health-FoTs – A Latency Aware Fog based IoT Environment and Efficient Monitoring of Body’s Vital Parameters in Smart Health care Environment. Cover

Health-FoTs – A Latency Aware Fog based IoT Environment and Efficient Monitoring of Body’s Vital Parameters in Smart Health care Environment.

Open Access
|Feb 2025

Figures & Tables

Figure 1:

IoT and Gateway System Model Used in the Proposed research
IoT and Gateway System Model Used in the Proposed research

Figure 2

Proposed Block framework for the Fog - IoT Health care Devices
Proposed Block framework for the Fog - IoT Health care Devices

Figure 3:

a) Hardware Test Bed with NodeMCU as IoT board with the Raspberry Pi Model B+ as Fog Gateways b) & c) Cloud data stored in the ThingSpeak from Fog gateways
a) Hardware Test Bed with NodeMCU as IoT board with the Raspberry Pi Model B+ as Fog Gateways b) & c) Cloud data stored in the ThingSpeak from Fog gateways

Figure 4:

a) Mobile Application developed for monitoring the IoT sensor values b) Mobile App developed for RSSI Measurement to deploy the DAPA model.
a) Mobile Application developed for monitoring the IoT sensor values b) Mobile App developed for RSSI Measurement to deploy the DAPA model.

Figure 5:

Latency Analysis for the Different models deployed for the experimentation process(For N=number of IoT nodes interfaced with the medical sensors)
Latency Analysis for the Different models deployed for the experimentation process(For N=number of IoT nodes interfaced with the medical sensors)

Figure 6:

Latency Analysis for the Different models deployed for Different size of data transmission
Latency Analysis for the Different models deployed for Different size of data transmission

Figure 7:

Latency Analysis for the Different models deployed for Different size of data transmission
Latency Analysis for the Different models deployed for Different size of data transmission

Figure 8:

Latency Analysis for the Different models deployed for Different size of data transmission
Latency Analysis for the Different models deployed for Different size of data transmission

Figure 9:

Latency Analysis for the Different models deployed for Different size of data transmission
Latency Analysis for the Different models deployed for Different size of data transmission

Figure 10:

Throughput Assessment of the Distinct methods in transmitting the medical data sensors
Throughput Assessment of the Distinct methods in transmitting the medical data sensors

Hardware Specifications used in the IoT layers

Sl.NoHardware DetailsDescription
1Number of Sensors in each sensors05
2Number of IoT test beds used05
3Temperature sensors05
4Blood pressure sensor05
5Communication usedWIFI
6Analog-to-Digital Convertor10-bit MCP3008 ADC

Computational Overhead for the Different Fog Based IoT Devices

Data SizeComputational Overhead (secs)
IoT-Model-1IoT-Model-2IoT-Model-3Proposed Model
5MB4.23.93.52.8
10MB7.55.85.43.6
15MB10.29.29.15.9
20MB15.913.613.58.2
25MB21.919.419.211.5

Different RSSI parameters obtained Experimentally in the IoT devices

Sl.noRSSI (dbm)Distance between the IoT devices and Gateways (meters)
1-95 to -835
2-87 to -774
3-78 to -712.5

j_jsiot-2024-0009_utab_001

StepsAlgorithm-1 // Pseudo-Code for the DAPA in Fog layers
1Input : RSSI, Distance Measurements
2Output : Distributed Fogs
3Start :
3Measure the RSSI and Distance using Equation(1) and (2)
4If (RSSI > Threshold (By thumb Rule) && Distance< Thersold)
5    Shortest Distance detected
6      Distribute the Fogs near the IoT Nodes
7End
Language: English
Page range: 26 - 41
Submitted on: Aug 11, 2024
Accepted on: Sep 14, 2024
Published on: Feb 24, 2025
Published by: Future Sciences For Digital Publishing
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2025 N. Sathyanarayana, Abdul Momin Raufi, Meghna Sharma, published by Future Sciences For Digital Publishing
This work is licensed under the Creative Commons Attribution 4.0 License.