Congestion control based on cross-layer game optimization in wireless mesh networks
Ma, X. Xu, L. Min, Geyong
Ma, X.
Xu, L.
Min, Geyong
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2013
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Abstract
Due to the attractive characteristics of high capacity, high-speed, wide coverage and low transmission power, Wireless Mesh Networks become the ideal choice for the next-generation wireless communication systems. However, the network congestion of WMNs deteriorates the quality of service provided to end users. Game theory optimization model is a novel modeling tool for the study of multiple entities and the interaction between them. On the other hand, cross-layer design is shown to be practical for optimizing the performance of network communications. Therefore, a combination of the game theory and cross-layer optimization, named cross-layer game optimization, is proposed to reduce network congestion in WMNs. In this paper, the network congestion control in the transport layer and multi-path flow assignment in the network layer of WMNs are investigated. The proposed cross-layer game optimization algorithm is then employed to enable source nodes to change their set of paths and adjust their congestion window according to the round-trip time to achieve a Nash equilibrium. Finally, evaluation results show that the proposed cross-layer game optimization scheme achieves high throughput with low transmission delay.
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Ma X, Xu L and Min G (2013) Congestion control based on cross-layer game optimization in wireless mesh networks. In: Proceedings of the 9th International Conference on Mobile Ad-hoc and Sensor Networks (MSN). 11-13 Dec 2013. Dalian, China. IEEE: 41-46.
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