Implementation of AI-Based Smart Decision System in (WSN)

Abstract

Wireless Sensor Network (WSN) is an important technology in various modern monitoring applications. However, limited sensor node resources lead to low efficiency and accuracy of decision-making in conventional systems. This study proposes the implementation of an Artificial Intelligence (AI)-based Smart Decision System in WSN to improve energy efficiency, decision-making accuracy, and network lifespan. AI methods are applied to analyze sensor data and determine data transmission decisions adaptively. Evaluation is carried out through simulations by comparing conventional WSN systems and AI-based WSNs. The results show that the proposed system is able to improve decision accuracy, reduce energy consumption, and extend network lifespan significantly.