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

Authors

  • Maryam Maleki

  • Amir Massoud Bidgoli(CA)

Keywords:

internet of things, optimization method, energy consumption optimization, clustering algorithms, heterogeneity, load-balancing, swarm intelligence

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

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How to Cite

Maryam Maleki, & Amir Massoud Bidgoli(CA). (2022). An Improved Energy-Aware Distributed Unequal Clustering Protocol using BBO Algorithm for Heterogeneous Load Balancing. Global Journal of Computer Science and Technology, 22(E2), 29–41. Retrieved from https://computerresearch.org/index.php/computer/article/view/102242

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

Published

2022-07-18