Energy-Efficient Wireless Sensor Networks Using Adaptive Ant Colony Optimization and Sixth Generation (6G) Technology

Energy-Efficient Wireless Sensor Networks Using Adaptive Ant Colony Optimization and Sixth Generation (6G) Technology
  IJETT-book-cover           
  
© 2024 by IJETT Journal
Volume-72 Issue-10
Year of Publication : 2024
Author : H. S. Mohammed, Omer A. Abdulkareem, A. Ahmad, Captain Samuel Dowse
DOI : 10.14445/22315381/IJETT-V72I10P110

How to Cite?
H. S. Mohammed, Omer A. Abdulkareem, A. Ahmad, Captain Samuel Dowse, "Energy-Efficient Wireless Sensor Networks Using Adaptive Ant Colony Optimization and Sixth Generation (6G) Technology," International Journal of Engineering Trends and Technology, vol. 72, no. 10, pp. 90-95, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I10P110

Abstract
This paper introduces an innovative method for enhancing energy efficiency in Wireless Sensor Networks (WSNs) by integrating an adaptive Ant Colony Optimization (ACO) algorithm with Sixth Generation (6G) technology. The adaptive ACO algorithm optimizes routing decisions by dynamically adjusting pheromone levels based on real-time network conditions, thereby reducing energy consumption and improving data transmission reliability. The inclusion of 6G technology, with its ultra-low latency and high data rates, further augments these improvements, enabling faster and more efficient communication. Simulation results demonstrate that the proposed method significantly outperforms traditional routing algorithms in both energy conservation and network reliability. This research highlights the potential of combining bio-inspired optimization techniques with next-generation communication technologies to advance the sustainability and performance of WSNs.

Keywords
Adaptive biomimetic ant colony optimization, 6G technology, Wireless Sensor Networks (WSNs), Energy efficiency, Communication optimization.

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