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Enhancing Efficiency And Security In Healthcare IoT: A Novel Approach For Fog Computing Resource Optimization Using TGA-RNN Cover

Enhancing Efficiency And Security In Healthcare IoT: A Novel Approach For Fog Computing Resource Optimization Using TGA-RNN

Open Access
|Dec 2025

Figures & Tables

Figure 1.

Block diagram of proposed method
Block diagram of proposed method

Figure 2.

IoT-based Health Monitoring Architecture
IoT-based Health Monitoring Architecture

Figure 3.

Fog computing architecture
Fog computing architecture

Figure 4.

LSTM model
LSTM model

Figure 5.

Iterative foraging process of fruit flies
Iterative foraging process of fruit flies

Figure 6.

Monitored healthcare data
Monitored healthcare data

Figure 7.

Average Success Rate
Average Success Rate

Figure 8.

Resource Scheduling Efficiency
Resource Scheduling Efficiency

Figure 9.

Energy Consumption
Energy Consumption

Figure 10.

Response Time
Response Time

Figure 11.

Energy consumption Vs the iterations
Energy consumption Vs the iterations

Figure 12.

Convergence performance with devices/tasks/RBs
Convergence performance with devices/tasks/RBs

Figure 13.

Energy consumption Vs the number of tasks
Energy consumption Vs the number of tasks

Figure 14.

Energy consumption versus the FN’s computation capacity
Energy consumption versus the FN’s computation capacity

Figure 15.

Energy consumption versus the number of RBs
Energy consumption versus the number of RBs

Figure 16.

Average delay Vs the number of tasks
Average delay Vs the number of tasks

Figure 17.

Average delay Vs the FN’s computation capacity
Average delay Vs the FN’s computation capacity

Figure 18.

Average delay Vs the number of RBs
Average delay Vs the number of RBs

Simulation parameters

Simulation parametersValue
Radius of the FN100 m
Data size fortask[0.1 – 1] Mbits
Computation capacity of the FN[0.7 – 1] GHZ
Computation capacity of the IoT devices20 GHZ
Local computing energy consumption[2 – 4] * 10−11 J/Cycle
FN computing energy consumption1 * 10−11 J/Cycle

Comparison of Execution Time

MethodsExecution Time (s)
FOA55 s
SSA43 s
Proposed7.1 s
DOI: https://doi.org/10.14313/jamris-2025-037 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 82 - 93
Submitted on: May 21, 2024
|
Accepted on: Jul 23, 2024
|
Published on: Dec 24, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Rahul Jaywantrao Shimpi, Vibha Tiwari, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.