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Exploring Ant Colony Optimization for Enhanced Routing in IoT Networks: A Survey

M. Bharathi, T. Aditya Sai Srinivas

Abstract


This survey explores the application of Ant Colony Optimization (ACO) algorithms for efficient routing in the Internet of Things (IoT). It provides a comprehensive overview of ACO principles, their adaptation to IoT routing challenges, and evaluates their effectiveness in comparison to existing algorithms. The paper examines key metrics for IoT routing efficiency, delves into real-world implementations, and discusses the associated advantages and limitations. Addressing challenges and open issues, the survey outlines future directions for research and innovation. Through a systematic analysis, this abstract encapsulates the evolving landscape of ACO-based routing strategies, offering valuable insights for researchers and practitioners in the dynamic field of IoT.


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References


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