Analisis Teknik Data Aggregation Pada Wireless Sensor Networks Sebagai Strategi Pengurangan Konsumsi Energi
Keywords:
Wireless Sensor Networks, Data Aggregation, Efisiensi Energi, Umur Jaringan, Internet of ThingsAbstract
Wireless Sensor Networks (WSN) adalah teknologi jaringan tanpa kabel yang sering digunakan untuk memantau lingkungan serta sistem cerdas, tetapi masalah utama dalam penggunaannya adalah batasan energi dari setiap node sensor, yang membuat jaringan sulit beroperasi dalam jangka waktu lama. Untuk mengatasi permasalahan tersebut, beberapa metode telah dikembangkan, salah satunya adalah teknik data aggregation. Teknik ini bertujuan mengurangi jumlah data yang dikirim dengan memproses data terlebih dahulu di dalam jaringan. Penelitian ini bertujuan menganalisis dan membandingkan efektivitas berbagai teknik data aggregation dalam meningkatkan penggunaan energi yang efisien. Penelitian menggunakan metode kuantitatif dengan analisis perbandingan berdasarkan review literatur dan data evaluasi yang relevan. Parameter yang digunakan mencakup total konsumsi energi, jumlah paket data yang dikirim, umur jaringan, serta keberimbangan penggunaan energi di setiap node. Hasil penelitian menunjukkan bahwa semua teknik data aggregation dapat meningkatkan efisiensi energi secara lebih baik dibandingkan dengan skema tanpa agregasi. Dari berbagai teknik tersebut, pendekatan adaptive aggregation memiliki kinerja terbaik dalam mengurangi penggunaan energi, memperkecil volume data, memperpanjang masa hidup jaringan, serta mendistribusikan beban energi secara lebih merata. Penelitian ini memberikan bukti empiris yang kuat mengenai keefektifan teknik data aggregation, terutama pendekatan adaptif, sebagai bagian penting dalam perancangan WSN yang efisien dan berkelanjutan untuk mendukung sistem Internet of Things yang berskala besar.
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