Analisis Literatur Sistematis tentang Algoritma Klasterisasi Dinamis untuk Perpanjangan Masa Pakai WSN
Kata Kunci:
Wireless Sensor Network, Klsterisasi Dinamis, Perpanjangan masa pakai jaringan, Efisiensi Energy, Cluster Head (CH)Abstrak
Jaringan Sensor Nirkabel (WSN) sangat dibatasi oleh sumber daya energi node, menjadikan perpanjangan masa pakai jaringan sebagai tantangan utama. Klasterisasi diakui sebagai teknik fundamental untuk menghemat energi dengan mengurangi transmisi data jarak jauh, di mana node diorganisasi menjadi kelompok dan memilih seorang Cluster Head (CH) untuk agregasi data. Namun, WSN beroperasi di lingkungan yang dinamis—dengan topologi dan tingkat energi yang terus berubah—membuat algoritma klasterisasi statis gagal beradaptasi secara efisien. Oleh karena itu, Algoritma Klasterisasi Dinamis muncul sebagai solusi yang lebih cerdas, memungkinkan penyesuaian CH dan anggota klaster secara berkala berdasarkan kondisi real-time seperti tingkat energi residu, jarak antar-node, dan kepadatan klaster. Analisis Literatur Sistematis (SLR) ini bertujuan untuk secara kritis mengidentifikasi, menganalisis, dan mensintesis penelitian terkini mengenai algoritma dinamis yang dirancang khusus untuk perpanjangan masa pakai WSN. Secara khusus, tinjauan ini akan mengeksplorasi algoritma inovatif yang mengintegrasikan teknik-teknik canggih seperti logika fuzzy untuk pengambilan keputusan yang tidak pasti, machine learning untuk prediksi kondisi jaringan, dan optimasi berbasis swarm untuk pemilihan CH yang adaptif. Kami akan meninjau metrik kinerja utama, termasuk peningkatan umur node pertama yang mati (First Node Dead/FND), masa pakai jaringan total, dan keseimbangan beban energi di seluruh jaringan. Hasil SLR ini diharapkan dapat memberikan gambaran komprehensif mengenai keadaan seni, secara jelas menyoroti keunggulan dan kelemahan dari berbagai pendekatan klasterisasi dinamis, serta mengidentifikasi kesenjangan dan arah penelitian di masa depan yang paling menjanjikan guna memandu pengembangan protokol klasterisasi yang lebih efisien energi dan andal untuk WSN generasi berikutnya.
Unduhan
Referensi
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