Adaptive Cluster-Based Data Aggregation for Energy‎Optimization in Wireless Sensor Networks

  • Authors

    • Dr. Rameshkumar N Department of Electrical and Electronics Engineering
    • Dr. SathikBasha Department of Electrical and Electronics Engineering
    • Mr. Abdullhamasooth Department of Electrical and Electronics Engineering
    • Mr. Balajee B. Department of Electrical and Electronics Engineering
    • Dr. Agalya A. Department of Science and Humanities, Al Ameen Engineering College, Erode, Tamil Nadu, India
    https://doi.org/10.14419/jqtda361

    Received date: May 2, 2025

    Accepted date: May 29, 2025

    Published date: November 1, 2025

  • Wireless Sensor Network; Data Aggregation; Clustering; Compressive Sensing; Energy Optimization; Routing

  • Abstract

    Wireless Sensor Networks (WSNs) play a crucial role in environmental monitoring, industrial automation, and smart infrastructure by ‎periodically extracting sensor readings. However, high node density leads to data redundancy, increasing energy consumption and ‎communication overhead. To address this, an adaptive cluster-based data aggregation (ACDA) protocol is proposed, leveraging an enhanced ‎hybrid clustering and compressive sensing approach. The ACDA protocol dynamically forms clusters based on network topology and node ‎residual energy, ensuring balanced energy consumption. Additionally, a compressive sensing-based aggregation mechanism is employed to ‎minimize redundant data transmission, further enhancing energy efficiency. The proposed method is evaluated against the Hybrid Energy-‎Efficient Distributed (HEED) clustering algorithm and the Adaptive Prediction-Based Data Aggregation (APDA) technique. Experimental ‎results demonstrate that ACDA achieves a 63.5% improvement in energy efficiency, a 78.2% packet delivery ratio, a 67.1% reduction in ‎storage space, and a 29.7% decrease in transmission delay compared to existing methods. These findings highlight the effectiveness of ‎ACDA in prolonging network lifespan and optimizing data aggregation processes in WSNs‎.

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  • How to Cite

    N, D. R. ., SathikBasha, D. ., Abdullhamasooth , M. ., B. , M. B. ., & A., D. A. . (2025). Adaptive Cluster-Based Data Aggregation for Energy‎Optimization in Wireless Sensor Networks. International Journal of Basic and Applied Sciences, 14(SI-1), 447-455. https://doi.org/10.14419/jqtda361