Optimizing WSNs with Artificial Intelligence: A Survey of Approaches and Applications

Wireless sensor networks (WSNs) have become an increasingly important tool for a wide range of applications, from environmental monitoring to industrial automation. However, WSNs face a number of challenges, including limited resources, harsh operating environments, and high levels of noise and interference. Artificial intelligence (AI) has the potential to address these challenges and enhance the performance and reliability of WSNs. In this paper, we conduct a survey of the various approaches and applications of AI in WSNs. We first provide an overview of the key characteristics and challenges of WSNs, and then review the different types of AI techniques that have been applied to WSNs, including machine learning, natural language processing, and decision making. We also discuss the benefits and limitations of these techniques, and identify potential areas for future research. Our survey aims to provide a comprehensive overview of the state-of-the-art in AI for WSNs, and to help guide researchers and practitioners in the selection and application of AI techniques for WSN optimization. Keywords: Wireless sensor networks (WSNs), Artificial intelligence (AI), Machine learning, Natural language processing, Decision making, Network optimization, Resource management, Data management. Title: Optimizing WSNs with Artificial Intelligence: A Survey of Approaches and Applications Author: AWS ABD ALKAREEM HAMEED ALTAEE International Journal of Novel Research in Computer Science and Software Engineering ISSN 2394-7314 Vol. 10, Issue 1, January 2023 - April 2023 Page No: 8-11 Novelty Journals Website: www.noveltyjournals.com Published Date: 27-January-2023 DOI: https://doi.org/10.5281/zenodo.7576297 Paper Download Link (Source) https://www.noveltyjournals.com/upload/paper/Optimizing%20WSNs%20with%20Artificial-27012023-3.pdf

International Journal of Novel Research in Computer Science and Software Engineering, ISSN 2394-7314, Novelty Journals, Website: www.noveltyjournals.com