இன்டர்நேஷனல் ஜர்னல் ஆஃப் சென்சார் நெட்வொர்க்ஸ் மற்றும் டேட்டா கம்யூனிகேஷன்ஸ்

Smart Data Transmission in IoT Sensor Networks: Dynamic Node Selection through Predictive Analytics for Efficient and Accurate Targeting

Abstract

Banfill Kaia

This research focuses on optimizing data transmission in Internet of Things (IoT) sensor networks by implementing a smart approach to dynamic node selection. Leveraging predictive analytics, the proposed system facilitates efficient and accurate targeting of data transmission nodes. By dynamically selecting nodes based on predictive models, the network enhances resource utilization, reduces latency, and conserves energy, contributing to overall system efficiency. The study explores the integration of predictive analytics into IoT sensor networks, evaluates the performance of the dynamic node selection strategy, and highlights its effectiveness in achieving reliable and timely data transmission.