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Enhancing Communication, Collaboration, and Efficiency of the Tunicate-Based Swarm Algorithms to Effectively Solve Complex Optimization Problems Encountered in IOT environments
¹Research Scholar, Madhav University, Abu Road Pindwara, Rajesthan, India. ²Assistant Professor, Faculty of Computer Science and Application, Madhav University, Abu Road Pindwara, Rajestha, India.
Published Online: May-August 2025
Pages: 315-323
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250402041
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.
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