Abstract
A Mobile Ad hoc Network (MANET) is a set of communicating mobile devices (nodes) without network infrastructure. Finding the optimum path between communicating nodes in MANETs is a challenging issue. This is due to the dynamic nature of nodes and the lack of a central routing authority in the network. The nature of the problem guided many researchers to follow the Ant Colony Optimization (ACO) approach because of the similarity between the two processes. In ACO, communication packets are simulated as real ants that come out of their nest and search for food. ACO protocols have a trade-off between exploring new routes vs. exploiting best routes followed by other ants. The two contradicting behaviors are tuned in the ACO model by a set of parameters. In this research, we introduce a novel approach to determine an online balance between exploration and exploitation of routes in ACO in MANET routing through game theory. This approach combines the benefit of online parameter tuning’s adaptability and -on the other hand- the low computational cost of game theory. Experimental results show higher performance for this approach than competitive algorithms.
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Hefnawy, M.A., Darwish, S.M. (2021). Game Theoretic Approach to Optimize Exploration Parameter in ACO MANET Routing. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_42
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DOI: https://doi.org/10.1007/978-3-030-58669-0_42
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