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Design and Implementation of the Deep Reinforcement Energy Efficient Routing for the Fog-BAN-Cloud of Things using Smart Health care applications Cover

Design and Implementation of the Deep Reinforcement Energy Efficient Routing for the Fog-BAN-Cloud of Things using Smart Health care applications

Open Access
|Feb 2025

Figures & Tables

Figure 1:

Working Mechanism of the Proposed methodology

Figure 2:

PPO Framework

Table 1:

Evaluation Metrices

SL.NOPerformance MetricsMathematical Expression
01AccuracyTP+TNTP+TN+FP+FN
02Sensitivity or recallTPTP+FN×100
03SpecificityTNTN+FP
04PrecisionTNTP+FP
05F1-Score2.  Precison * Recall  Precision + Recall 
Table 2:

Parameters of Simulation Used in the Experiment

S.NoSimulation ParametersSpecifications
1No of Nodes deployed120
2No of Fog gateways07
3Initial Energy in each BAN Nodes0.0016 Joules
4Distance variation from each BAN nodes5-10metres
5Transceivers EquippedWIFI
6Uplink Bandwidth200 Mbps
7Downlink Bandwidth100 Mbps
8RAM in Fog gateways2.5GB
9No of Attributes recorded08
Figure 3:

Energy Efficient Routing mechanism

Figure 3:

Performance metrics comparsion

Figure 4:

body area network -data transmission

Figure 4:

Energy Consumption Analysis

Language: English
Page range: 42 - 54
Submitted on: Aug 17, 2024
Accepted on: Sep 25, 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 Pradeep Kumar S, S. Venkatramulu, Siva Surya Narayana Chintapalli, published by Future Sciences For Digital Publishing
This work is licensed under the Creative Commons Attribution 4.0 License.