Computational Intelligence In Wireless Sensor Network


EOI: 10.11242/viva-tech.01.04.162

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Citation

Pranesh Nanoskar, Prof. Pradnya Mhatre, "Computational Intelligence In Wireless Sensor Network", VIVA-IJRI Volume 1, Issue 4, Article 162, pp. 1-6, 2021. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

The wireless sensor networks are event-monitoring and data collecting devices which are tightly distributed, lightweight nodes deployed in large number to monitor the environment or system. They are generally deployed for periodic reporting and event detection in an environment. WSN faces many challenges like design and deployment of sensor nodes, localization and topology changes, mobility and physical distribution, clustering, data aggregation, security, and quality of service management. An intelligent-based approach works more efficiently as sensor nodes are deployed in dynamic environments. Computational intelligence provides autonomous behavior, flexibility, robustness against communication failure and topology changes. The most common computational intelligence (CI) paradigms such as fuzzy systems, evolutionary algorithm, artificial neural networks,, swarm intelligence, and artificial immune systems are explored in this paper.

Keywords

Computational intelligence, Fuzzy logic, Neural networks, Reinforcement Learning, Wireless sensor networks

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