Enhancing Communication, Collaboration, and Efficiency of the Tunicate-Based Swarm Algorithms to Effectively Solve Complex Optimization Problems Encountered in IOT environments

DOI

https://www.doi.org/10.59256/indjcst.20250402041

Published In

Volume 4, Issue 2 (2025)

Published Online

May-August 2025

Pages

315-323

Article Type

Original Article

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The Internet of Things (IoT) paradigm has matured and expanded rapidly across many disciplines IoT networks continue to face an increasing security threat despite these advancements result of the constant and rapid changes in the network environment This paper explores novel enhancements to the Tunicate Swarm Intelligence algorithm to address various challenges in Internet of Things optimization. By examining the limitations of existing TSI approaches and integrating complementary algorithms, this work aims to improve energy efficiency, data integrity, scalability, and real-time adaptability in IoT environments. Case studies and simulations demonstrate the potential of the proposed enhancements across multiple IoT applications.