RESEARCH PAPER
Optimizing IoT Routing with a Focus on Service Quality Using Integrated Big Bang-Big Crunch Central Force Optimization
1
School of General Education, Sichuan Vocational and Technical College, China
Submission date: 2024-08-11
Final revision date: 2024-09-26
Acceptance date: 2024-11-10
Online publication date: 2024-12-05
Publication date: 2024-12-05
Corresponding author
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):195794
HIGHLIGHTS
- BB-CFO hybrid technique combines BB-BC exploration and CFO accuracy for IoT routing.
- BB-CFO boosts IoT routing by optimizing energy, reducing delays, and enhancing delivery.
- Q-FRPL method using BB-CFO outperforms traditional routing in energy and latency.
- A review of IoT routing protocols highlights BB-CFO as an efficient alternative solution
KEYWORDS
Big Bang-Big CrunchEnergy EfficiencyHybrid Optimization AlgorithmsIoT Network EfficiencyRouting Optimization
TOPICS
ABSTRACT
This paper introduces a novel hybrid optimization algorithm, BB-CFO, which combines the big bang-big crunch (BB-BC) and central force optimization (CFO) algorithms to address key challenges in Internet of Things (IoT) networks, such as energy constraints, delay, and scalability. The proposed BB-CFO algorithm improves both the exploration and exploitation phases of optimization, providing a balanced approach for solving complex routing problems in low-power and lossy networks. The algorithm is integrated into the quality fuzzy routing protocol for low-power and lossy networks (Q-FRPL), which is evaluated through extensive simulations using Cooja and NS2 environments. The contributions of this study are twofold: first, the development of a hybrid optimization technique that enhances routing efficiency in IoT networks, and second, the demonstration of its effectiveness through comparative analysis with conventional algorithms. ...
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CITATIONS (1):
1.
Intelligent Systems in Production Engineering and Maintenance IV
Hubert Kędziora, Artur Meller, Stanisław Legutko
Hubert Kędziora, Artur Meller, Stanisław Legutko
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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