Optimizing IoT Applications with AI-Enhanced Wireless Sensor Networks

DOI

No Doi

Published In

Year 2024 · Volume 1 · Issue 2

Published Online

May-August 2024

Pages

22-25

Article Type

Original Article

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This paper provides a comprehensive review of the integration of artificial intelligence (AI) with wireless sensor networks (WSNs), highlighting the transformative potential of this convergence in data collection and environmental monitoring. By combining self-configured sensor nodes with advanced AI techniques, the integration enhances adaptability, energy efficiency, and real-time decision-making capabilities. Various AI methodologies, including machine learning, deep learning, and evolutionary algorithms, are explored for their roles in optimizing network performance and resource management. The paper also addresses critical challenges such as processing limitations, security vulnerabilities, and the complexity of interoperability. Key applications across healthcare, smart agriculture, and environmental monitoring are discussed, illustrating the practical benefits of this integration. Finally, the paper outlines future perspectives, emphasizing the role of emerging technologies in overcoming existing barriers and further enhancing the functionality of AI integrated WSNs. This integration is poised to revolutionize smart environments, offering innovative solutions for continuous monitoring and efficient resource management