An Energy-Efficient Clustering and Scheduling Framework in MATLAB with Visualization for Wireless Sensor Networks

Author(s)	Mr. Suhas B. Pharne, Dr. Jaymala K. Patil
Country	India
Abstract	Wireless Sensor Networks (WSNs) are increasingly deployed for various monitoring applications. Energy efficiency is a critical concern in WSNs due to the limited power resources of sensor nodes. This paper presents a MATLAB-based simulation framework for exploring a fundamental Energy-Efficient Data Collection (EEDC) strategy. The architecture uses similarity-based clustering, using Euclidean distance to cluster sensor nodes with similar temporal data patterns through single-linkage hierarchical clustering. A simple, randomized scheduling scheme is then used within each cluster to control the active times of sensor nodes. The framework supplies thorough visualizations, such as a dendrogram of the clustering, time series data with cluster assignments, distribution of clusters on the network layout, sensor node working schedules (Gantt chart), and a dissimilarity matrix heatmap. This simulation is a basic platform for exploring the effect of data similarity and minimal coordination on possible energy savings in WSNs.
Keywords	Wireless Sensor Networks, Energy Efficiency, Data Collection, Clustering, Scheduling, Simulation, MATLAB
Field	Engineering
Published In	Volume 16, Issue 3, July-September 2025
Published On	2025-07-22
DOI	https://doi.org/10.71097/IJSAT.v16.i3.7163
Short DOI	https://doi.org/g9t2x2

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