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Jian Li

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Proceedings Article | 7 December 2023 Paper

Multi point relay set selection algorithm based on fruit fly-inspired optimizers

Zhanpeng Xiang, Jian Li

Proceedings Volume 12941, 129410I (2023) https://doi.org/10.1117/12.3011599

KEYWORDS: Mathematical optimization, Computer simulations, Genetic algorithms, Relays, Algorithms, MATLAB, Communication technologies, Wireless communications

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The optimal MPR (Multi Point Relay) algorithm is a means of addressing the drawbacks, such as high overhead, faced by the OLSR (Optimized Link State Routing) protocol in link state routing protocols. However, traditional MPR algorithms suffer from redundancy issues, leading to suboptimal solutions in certain scenarios. To tackle this problem, this paper considers solving the optimal MPR set using a genetic algorithm approach. Firstly, the traditional ant colony algorithm is improved, and the maximum-minimum ant colony algorithm is proposed for MPR. To reduce algorithm complexity and lower time costs, a fruit fly inspired optimal MPR set selection algorithm is introduced. Simulation results demonstrate that this algorithm can avoid redundancy issues found in traditional algorithms and has a shorter running time compared to the ant colony algorithm-based approach.

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