Optimizing Fuzzy Adaptive Based Metaheuristics ABC to Detect Malicious Node to improve the performance of WSN

Tiwari, Virendra and Waoo, Akhilesh A. (2022) Optimizing Fuzzy Adaptive Based Metaheuristics ABC to Detect Malicious Node to improve the performance of WSN. In: Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India.

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Abstract

The Wireless Sensor Networks comprises a set of sensors situated at different locations, usually employed for the gathering of data and tracking applications like monitoring the movement of autonomous nodes in both static and dynamic environments. However, the design of WSN has some the vulnerabilit

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 15:20
Last Modified: 17 Apr 2026 06:12
URI: http://eprints.eai.eu/id/eprint/38783

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