An Improved Energy-Aware Distributed Unequal Clustering Protocol using BBO Algorithm for Heterogeneous Load Balancing

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Maryam Maleki
Maryam Maleki
2
Amir Massoud Bidgoli(CA)
Amir Massoud Bidgoli(CA)
1 Islamic Azad University-Tehran North Branch Tehran

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GJCST Volume 22 Issue E2

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With the rapid extension of IoT-based applications, various distinct challenges are emerging in this area. Among these concerns, the node’s energy efficiency has a special importance; since it can directly affect the functionality of IoT-Based applications. By considering data transmission as the most energy-consuming task in IoT networks; clustering has been proposed to reduce the communication distance and ultimately overcome node energy wastage. However, cluster head selection as a non-deterministic polynomial-time hard problem will be challenging notably by considering node’s heterogeneity and real-world IoT network constraints which usually have conflicts with each other. Due to the existence of conflict among the main system parameters, various solutions have been proposed in recent years that each of which only considered a few real-world limitations and parameters.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

Maryam Maleki. 2026. \u201cAn Improved Energy-Aware Distributed Unequal Clustering Protocol using BBO Algorithm for Heterogeneous Load Balancing\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 22 (GJCST Volume 22 Issue E2): .

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Energy-efficient distributed clustering protocol for load balancing.
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GJCST Volume 22 Issue E2
Pg. 29- 41
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-E Classification: C.2.2
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July 18, 2022

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English

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With the rapid extension of IoT-based applications, various distinct challenges are emerging in this area. Among these concerns, the node’s energy efficiency has a special importance; since it can directly affect the functionality of IoT-Based applications. By considering data transmission as the most energy-consuming task in IoT networks; clustering has been proposed to reduce the communication distance and ultimately overcome node energy wastage. However, cluster head selection as a non-deterministic polynomial-time hard problem will be challenging notably by considering node’s heterogeneity and real-world IoT network constraints which usually have conflicts with each other. Due to the existence of conflict among the main system parameters, various solutions have been proposed in recent years that each of which only considered a few real-world limitations and parameters.

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An Improved Energy-Aware Distributed Unequal Clustering Protocol using BBO Algorithm for Heterogeneous Load Balancing

Maryam Maleki
Maryam Maleki Islamic Azad University-Tehran North Branch Tehran
Amir Massoud Bidgoli(CA)
Amir Massoud Bidgoli(CA)

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