Tren Masa Depan Wireless Sensor Networks: Integrasi Artificial Intelligence untuk Jaringan Sensor yang Otonom dan Adaptif
Kata Kunci:
Kata Kunci: Jaringan Sensor Nirkabel, Kecerdasan Buatan, Jaringan Otonom, Jaringan Adaptif, Internet of ThingsAbstrak
Wireless Sensor Networks (WSN) merupakan komponen penting dalam ekosistem Internet of Things dan sistem cerdas, namun masih menghadapi keterbatasan mendasar terkait efisiensi energi, adaptivitas, skalabilitas, dan keandalan jaringan. Perkembangan Artificial Intelligence (AI) menawarkan peluang baru untuk mentransformasi WSN dari jaringan sensor konvensional menjadi jaringan yang cerdas dan otonom. Penelitian ini bertujuan untuk mengkaji tren masa depan WSN melalui integrasi AI dalam mendukung jaringan sensor yang otonom dan adaptif. Penelitian ini menggunakan metode tinjauan pustaka sistematis dengan analisis konseptual terhadap literatur ilmiah bereputasi yang membahas penerapan AI pada WSN, meliputi aspek arsitektur jaringan, routing, manajemen energi, keamanan, dan mekanisme otonomi. Hasil kajian menunjukkan bahwa pendekatan AI, seperti machine learning, deep learning, reinforcement learning, dan federated learning, secara signifikan meningkatkan efisiensi energi, adaptivitas jaringan, keandalan sistem, dan skalabilitas WSN. Selain itu, integrasi AI memungkinkan implementasi mekanisme self-configuration, self-optimization, self-healing, dan self-protection, yang menjadi ciri utama jaringan sensor otonom. Namun, ditemukan adanya trade-off antara peningkatan kecerdasan jaringan dan kompleksitas sistem, khususnya terkait kebutuhan komputasi dan konsumsi energi.Penelitian ini menegaskan bahwa AI merupakan elemen kunci dalam pengembangan WSN masa depan yang otonom dan adaptif. Penelitian lanjutan perlu difokuskan pada pengembangan model AI yang ringan, efisien energi, dan aman untuk mendukung implementasi WSN berskala besar.
Unduhan
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