Leveraging AI in Wireless Sensor Networks for Innovations and Applications in Modern Technological Advancements

Abstract

Wireless Sensor Networks (WSNs) have become crucial in enhancing smart environments across various fields such as manufacturing, smart cities, transport, health, and the Internet of Things, providing pervasive real-time applications. In this paper, we explore the current research trends related to Coverage, Deployment, and Localization challenges in WSNs, focusing on how Artificial Intelligence (AI) methods can improve these areas. We review recent studies that use different AI techniques to address specific WSN objectives, helping readers understand how these AI methods are applied to solve various WSN challenges. Our comprehensive evaluation and comparison of different AI methods used in WSNs provide guidance on the most suitable methods and the benefits of using AI for addressing Coverage, Deployment, and Localization issues in WSNs. This paper serves as a valuable resource for the research community, offering insights into the effective application of AI in WSNs and paving the way for innovative solutions to enhance smart environments.