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August 20, 2026International Journal of Computational Intelligence SystemsOpen Access

Optimized Security and Energy Efficiency for MQTT-based WSN-IoT: A GDMSOA-driven Framework with Adaptive Authentication

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Authors

SBS. L. BharathiJPJ. Sathya Priya

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Overview

Experimental evaluation demonstrates enhanced security and 18–25% energy reduction in MQTT-based wireless sensor networks, indicating improved viability for resource-constrained IoT systems.

Key Points

  • To design a lightweight, secure, and energy-efficient data transmission framework for resource-constrained wireless sensor networks within IoT environments.
  • Integrated the Genetic Dual-Mutation Seagull Optimization Algorithm (GDMSOA) for cluster-head selection and data aggregation with machine-learning-based intrusion detection and adaptive authentication.
  • Optimized MQTT communication parameters and evaluated performance using benchmark network security datasets, including MQTTset, N-BaIoT, BoT-IoT, and UNSW-NB15.
  • Attained an intrusion detection accuracy of 98.6% alongside an overall security rate of 91%.
  • Delivered a packet delivery ratio exceeding 96% while reducing energy consumption by 18% to 25% relative to state-of-the-art approaches.

Cite This Study

Bharathi et al. (2026) studied this question.

synapsesocial.com/papers/6a86b5c58a91293e6a1cd4dchttps://doi.org/10.1007/s44196-026-01512-8
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