An adaptive routing selection algorithm based on improved ant colony optimisation for mobile ad hoc networks

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The ARACO algorithm significantly enhances the transmission rate and reduces delay and packet loss rate in mobile ad hoc networks.
Simulation results reveal ARACO outperforms the traditional ACO and genetic algorithm in multiple performance metrics.
The method integrates improvements to pheromone updates and also considers QoS requirements for more reliable routing decisions.
Exploration capabilities are maintained in the early stage of routing selection while also accelerating convergence later on.

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The adaptive routing selection algorithm improves transmission rates in mobile ad hoc networks, indicating better network performance.

Liu et al. (2025) studied this question.

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