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

Article ID

CSTNWSN267D

Energy-efficient distributed clustering protocol for load balancing.

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)
DOI

Abstract

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.

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

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.

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

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Maryam Maleki. 2026. “. Global Journal of Computer Science and Technology – E: Network, Web & Security GJCST-E Volume 22 (GJCST Volume 22 Issue E2): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Issue Cover
GJCST Volume 22 Issue E2
Pg. 29- 41
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GJCST-E Classification: C.2.2
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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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