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dc.contributor.authorMa, X.*
dc.contributor.authorXu, L.*
dc.contributor.authorMin, Geyong*
dc.date.accessioned2016-10-07T14:35:27Z
dc.date.available2016-10-07T14:35:27Z
dc.date.issued2013
dc.identifier.citationMa 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.
dc.identifier.urihttp://hdl.handle.net/10454/9686
dc.descriptionNo
dc.description.abstractDue 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.
dc.relation.isreferencedbyhttp://dx.doi.org/10.1109/MSN.2013.49
dc.subjectWMNs; Game theory; Cross-layer optimisation; Congestion control
dc.titleCongestion control based on cross-layer game optimization in wireless mesh networks
dc.status.refereedYes
dc.typeConference Paper
dc.type.versionNo full-text available in the repository


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