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@article{174399,
        author = {K.GAYATHRI and SD.NIKAHATH SHAHEEN and K.Jyothi Priyanka and G.Mahirama Chandra and D.VIJENDRA KUMAR},
        title = {NODE LOCALIZATION AND CLUSTERING IN WIRELESS SENSOR NETWORKS USING KH ALGORITHM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {3664-3667},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174399},
        abstract = {Node localization and clustering in wireless sensor networks (WSNs) help sensors find their positions and group together efficiently. The Krill Herd (KH) algorithm is used to improve these processes, making data transmission smoother and saving energy. This method enhances the network's performance and longevity. The KH algorithm adapts well, making it suitable for various WSN applications.
The KH algorithm utilizes a population-based search strategy to minimize the mean distance between estimated node positions and anchor nodes. Simulation results demonstrate the effectiveness of the proposed approach in achieving high localization accuracy and clustering efficiency, outperforming existing methods in terms of localization error and computational time. The proposed approach has significant implications for WSN applications, including environmental monitoring, smart cities, and industrial automation.},
        keywords = {Wireless Sensor Networks, Node Localization, KH Algorithm, CMD- Kmeans, RSSI, Energy Efficiency.},
        month = {March},
        }