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IITM Journal of Information Technology

ISSN (P) 2395-5457 | Single Blind Peer Reviewed Journal

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INSTITUTE OF INNOVATION IN TECHNOLOGY & MANAGEMENT
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Intelligent Computing for Wireless Sensor Networks : A Survey

Dr. Meenu1, Deepti Sharan2, Priya Tripathi3
1,3Computer Science Department, IINTM ,Janakpuri New Delhi
2Computer Science Department, AUM Education Society,USA

Abstract: Wireless sensor networks (WSNs) consist of distributed, autonomous devices that collaboratively monitor and sense physical or environmental conditions. WSNs encounter several challenges, primarily due to communication failures, computational and storage limitations, and constrained power resources. In recent years, computational intelligence (CI) paradigms have been successfully employed to address various issues such as data aggregation and fusion, energy-efficient routing, task scheduling, security, optimal deployment, and localization. CI offers adaptive mechanisms that demonstrate intelligent behavior in complex and dynamic WSN environments, providing flexibility, autonomy, and robustness against topology changes, communication disruptions, and evolving scenarios. However, WSN developers often lack awareness or a comprehensive understanding of the potential of CI algorithms. Conversely, CI researchers may not be fully familiar with the practical challenges and specific requirements of WSNs. This disconnects hampers collaboration and innovation. To bridge this gap, this paper provides an in-depth introduction to WSNs and their characteristics. It also presents an extensive review of CI applications across various WSN-related challenges, drawing insights from diverse research fields and publication sources. Additionally, the paper discusses the advantages and limitations of CI algorithms compared to traditional WSN approaches and offers a general evaluation of CI algorithms as a guide for their application in WSNs.

Keywords: Wireless Sensor Network, Computational Intelligence, Clustering Algorithms

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