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    ARTICLE

    Energy Aware Seagull Optimization-Based Unequal Clustering Technique in WSN Communication

    D. Anuradha1,*, R. Srinivasan2, T. Ch. Anil Kumar3, J. Faritha Banu4, Aditya Kumar Singh Pundir5, D. Vijendra Babu6

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1325-1341, 2022, DOI:10.32604/iasc.2022.021946

    Abstract Wireless sensor network (WSN) becomes a hot research area owing to an extensive set of applications. In order to accomplish energy efficiency in WSN, most of the earlier works have focused on the clustering process which enables to elect CHs and organize unequal clusters. However, the clustering process results in hot spot problem and can be addressed by the use of unequal clustering techniques, which enables to construct of clusters of unequal sizes to equalize the energy dissipation in the WSN. Unequal clustering can be formulated as an NP-hard issue and can be solved by metaheuristic optimization algorithms. With this… More >

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