Uneingeschränkter Zugang

Edge Computing in IoT Networks: Enhancing Efficiency, Reducing Latency, and Improving Scalability.

Amina Alkilany Abdallah Dallaf

Amina Alkilany Abdallah Dallaf

Computer Science Department, Omar Almukhtar UniversityAlByda, Libya
Orcid-Profil
Suche nach diesem Autor auf
Sciendo|Google Scholar
Dallaf, Amina Alkilany Abdallah
  
13. Juni 2025
Edge Computing in IoT Networks: Enhancing Efficiency, Reducing Latency, and Improving Scalability.'s Cover Image
Über diesen Artikel
Vorheriger Artikel
Nächster Artikel
Zitieren
COVER HERUNTERLADEN
Online veröffentlicht: 13. Juni 2025
Seitenbereich: 103 - 115
DOI: https://doi.org/10.2478/ijanmc-2025-0009
Schlüsselwörter
© 2025 Amina Alkilany Abdallah Dallaf, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Pseudo-code for Load Balancing Algorithm and its output
Pseudo-code for Load Balancing Algorithm and its output

Figure 2.

Flowchart for the Load Balancing Algorithm
Flowchart for the Load Balancing Algorithm

Figure 3.

Pseudo-code for task offloading algorithm and its output.
Pseudo-code for task offloading algorithm and its output.

Figure 4.

Outputs of Pseudo-Code for Dynamic Resource Allocation.
Outputs of Pseudo-Code for Dynamic Resource Allocation.

Figure 5.

Code for Edge-Based Power Grid Monitoring
Code for Edge-Based Power Grid Monitoring

Figure 6.

Output. Scenario 1: Normal Conditions (No Alert): All values are within safe limits, so no actions are taken.
Output. Scenario 1: Normal Conditions (No Alert): All values are within safe limits, so no actions are taken.

Figure 7.

Output. Scenario 2: Voltage Spike Detected (Trigger Circuit Breaker): Edge Node 1 detects high voltage (250V): Triggers circuit breaker to prevent damage.
Output. Scenario 2: Voltage Spike Detected (Trigger Circuit Breaker): Edge Node 1 detects high voltage (250V): Triggers circuit breaker to prevent damage.

Figure 8.

Output. Scenario 3: Transformer Overheating Detected (Predictive Maintenance Alert): Edge Node 1 detects transformer overheating (80°C) → Triggers predictive maintenance.
Output. Scenario 3: Transformer Overheating Detected (Predictive Maintenance Alert): Edge Node 1 detects transformer overheating (80°C) → Triggers predictive maintenance.

Figure 9.

Output. Scenario 4: Multiple Alerts Triggered: Both high voltage & overheating detected at Edge Node 1 and 2: Multiple actions taken.
Output. Scenario 4: Multiple Alerts Triggered: Both high voltage & overheating detected at Edge Node 1 and 2: Multiple actions taken.

Figure 10.

Output of Pseudo-Code for autonomous Vehicle Edge Processing.
Output of Pseudo-Code for autonomous Vehicle Edge Processing.

Figure 11.

Output of pseudo-code for Remote Health Monitoring.
Output of pseudo-code for Remote Health Monitoring.

Figure 12.

Output of pseudocode for industrial automation.
Output of pseudocode for industrial automation.

Figure 13.

Latency and Bandwidth Comparison
Latency and Bandwidth Comparison

Figure 14.

Energy consumption Comparison
Energy consumption Comparison

Figure 15.

Total Energy consumption Comparison
Total Energy consumption Comparison

Parameters Comparison

Direct Comparison and Improvement
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Informatik, Informatik, andere
Zeitschrift RSS Feed