Title: A new fuzzy-based nature-inspired routing method for mobile internet of things

Authors: Chenchen Gao; Amin Salih Mohammed

Addresses: Department of Drama, Film and Television Literature, Media College, Xinyang Normal University, Xinyang City, Henan Province, 464000, China ' Department of Software and Informatics Engineering, College of Engineering, Salahaddin University-Erbil, Kurdistan Region, Iraq; Department of Computer Engineering, College of Engineering and Computer Science, Lebanese French University, Kurdistan Region, Iraq

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.

Keywords: IoT; mobile; routing; energy; FPO algorithm; fuzzy logic.

DOI: 10.1504/IJMC.2025.144194

International Journal of Mobile Communications, 2025 Vol.25 No.2, pp.208 - 228

Accepted: 17 Jan 2024
Published online: 31 Jan 2025 *

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