A new fuzzy-based nature-inspired routing method for mobile internet of things Online publication date: Fri, 31-Jan-2025
by Chenchen Gao; Amin Salih Mohammed
International Journal of Mobile Communications (IJMC), Vol. 25, No. 2, 2025
Abstract: In the ever-evolving landscape of the IoT, the need for efficient and reliable routing methods is paramount. With the surge in mobile IoT devices, traditional routing algorithms have shown limitations in adapting to dynamic and unpredictable network conditions. Designed for static networks, these algorithms struggle to cope with the dynamic nature of mobile IoT, where devices are constantly on the move, leading to frequent network topology changes. To address these shortcomings, there is a pressing need for innovative routing methods capable of handling the unique challenges posed by mobile IoT. To address these challenges, this paper proposes a fuzzy-based nature-inspired routing method. One of the best algorithms that can be combined with fuzzy logic for routing in mobile IoT is the flower pollination optimisation (FPO) algorithm. Rigorous testing and simulations reveal that the proposed approach outperforms current methods across various metrics, including energy consumption, network lifetime, end-to-end delay, and packet drop ratio.
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