Charger Placement Optimization in Wireless Sensor Networks Using Hybrid Graph Coloring and Enhanced Aquila Optimization

Neelagandan P; Balaji S

doi:10.5281/zenodo.18875352

March 5, 2026Open Access

Charger Placement Optimization in Wireless Sensor Networks Using Hybrid Graph Coloring and Enhanced Aquila Optimization

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Key Points

The aim is to optimize the placement of chargers in wireless sensor networks to improve performance.
Applied hybrid graph coloring techniques for charger placement.
Implemented enhanced Aquila optimization for improved algorithms.
Compared results with other established algorithms using MATLAB.
Achieved better charger placement efficiency compared to traditional methods.
Enhanced algorithm demonstrated significant improvements in network stability.
Improved overall performance metrics in terms of energy consumption and coverage.

Implication

Research demonstrates improved charger placement optimization in wireless sensor networks, indicating enhanced efficiency.

Abstract

Matlab Code for the Paper,"Charger Placement Optimization in Wireless Sensor Networks Using Hybrid Graph Coloring and Enhanced Aquila Optimization" including all the other compared algorithm matlab code.

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Cite This Study

P et al. (2026) studied this question.

synapsesocial.com/papers/69abc2555af8044f7a4ebe11 https://doi.org/10.5281/zenodo.18875352

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Charger Placement Optimization in Wireless Sensor Networks Using Hybrid Graph Coloring and Enhanced Aquila Optimization

Key Points

Implication

Abstract

Discussion

Cite This Study

Charger Placement Optimization in Wireless Sensor Networks Using Hybrid Graph Coloring and Enhanced Aquila Optimization

Key Points

Implication

Abstract

Discussion

Cite This Study

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