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In this study, Spider Monkey Optimization (SMO) is used to enhance energy efficiency and network longevity in wireless sensor networks (WSNs). Using the proposed model, cluster heads can be selected efficiently and routing paths optimized, leading to significant improvements in performance metrics, such as energy consumption, throughput, and node lifespan. The model was evaluated against traditional clustering methods, such as Fuzzy C-Means (FCM). Based on the results, the proposed approach reduces energy consumption, improves packet delivery ratio (PDR), and minimizes dead nodes while increasing throughput and packet delivery ratio. Overall, the proposed model extends the operational lifespan of WSNs while maintaining high communication efficiency, as demonstrated by the findings.

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Design and Development of a Prolonged Network Lifetime Clustering Approach for Wireless Sensor Networks Using the Spider Monkey Optimization

  • 会议论文

  • 发表日期：

    2025年

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  • Haider Alabdeli

摘要

In this study, Spider Monkey Optimization (SMO) is used to enhance energy efficiency and network longevity in wireless sensor networks (WSNs). Using the proposed model, cluster heads can be selected efficiently and routing paths optimized, leading to significant improvements in performance metrics, such as energy consumption, throughput, and node lifespan. The model was evaluated against traditional clustering methods, such as Fuzzy C-Means (FCM). Based on the results, the proposed approach reduces energy consumption, improves packet delivery ratio (PDR), and minimizes dead nodes while increasing throughput and packet delivery ratio. Overall, the proposed model extends the operational lifespan of WSNs while maintaining high communication efficiency, as demonstrated by the findings.