Energy analysis and comparative study of n-wheel graphs in hierarchical wireless sensor network architectures

The energy analysis of the newly introduced n-wheel graph, employs diverse matrix representations such as the adjacency matrix, Laplacian matrix, and maximum degree matrix. This novel graph model resembles a hierarchical wireless sensor network (WSN), with a central hub serving as the communication center. The graph is organized into cycles, reflecting tiers of devices or sensors, with the hub managing wireless communication across these tiers. Through comparative analysis of energy variations, particularly focusing on ordinary energy, Laplacian energy, and maximum degree energy, offers a deeper understanding on the potential benefits of the n-wheel graph model, guiding future research and practical applications in the design of advanced hierarchical network structures.

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Publication Details

Journal
TELKOMNIKA (Telecommunication Computing Electronics and Control)
Published
2025-07-19
DOI
https://doi.org/10.12928/telkomnika.v23i4.26499
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
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article

Energy analysis and comparative study of n-wheel graphs in hierarchical wireless sensor network architectures

Vinay Joseph, Jerlinkasmir Rubancharles, Naseema Valiyaveettil Abdul Lathief
TELKOMNIKA (Telecommunication Computing Electronics and Control)
Energy Efficient Wireless Sensor Networks
article

Energy analysis and comparative study of n-wheel graphs in hierarchical wireless sensor network architectures

Vinay Joseph, Jerlinkasmir Rubancharles, Naseema Valiyaveettil Abdul Lathief
article en

Abstract

The energy analysis of the newly introduced n-wheel graph, employs diverse matrix representations such as the adjacency matrix, Laplacian matrix, and maximum degree matrix. This novel graph model resembles a hierarchical wireless sensor network (WSN), with a central hub serving as the communication center. The graph is organized into cycles, reflecting tiers of devices or sensors, with the hub managing wireless communication across these tiers. Through comparative analysis of energy variations, particularly focusing on ordinary energy, Laplacian energy, and maximum degree energy, offers a deeper understanding on the potential benefits of the n-wheel graph model, guiding future research and practical applications in the design of advanced hierarchical network structures.

TELKOMNIKA (Telecommunication Computing Electronics and Control)Vol. 23(4)
Karunya University (IN), Achmea (Netherlands) (NL)
Affordable and clean energy
Openalex Percentile: Top 78%
Energy Efficient Wireless Sensor Networks
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Energy analysis and comparative study of n-wheel graphs in hierarchical wireless sensor network architectures — Vinay Joseph, Jerlinkasmir Rubancharles, et al. · TELKOMNIKA (Telecommunication Computing Electronics and Control) (2025) | TGRS Research Map | TGRS