多跳视频传播跨层激励机制框架的研究

M. Wichtlhuber, Mahdi Mousavi, Hussein Al-Shatri, A. Klein, D. Hausheer
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引用次数: 2

摘要

对于高用户密度场景下的数据传输,可以将基于基础设施和多跳自组织通信相结合,以受益于稳定骨干网的可靠性和多跳通信的增加覆盖。近年来,人们从跨层的角度研究了这些场景,主要关注纯粹的性能优化。然而,在跨层领域中,向节点提供激励以转发数据的问题在很大程度上被忽略了,尽管提供激励对网络至关重要:每个节点代表一个用户,比较他或她的满意度和决定他或她参与的成本。跨层激励研究存在差距的一个可能原因是,为了表达用户的效用,需要对用户和网络建模,这需要两个领域的知识。为了促进跨层激励方案领域的未来研究,本工作提出了一种结合用户模型和网络模型的通用跨层仿真模型。此外,给出了视频直播用例的仿真模型实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a framework for cross layer incentive mechanisms for multihop video dissemination
For transmitting data in scenarios showing a high user density, infrastructure based and multihop Ad hoc communication can be combined to benefit from the reliability of a stable backbone network and the increased coverage of multihop communication. Such scenarios have been investigated from a cross layer perspective in the recent years mainly focusing on pure performance optimization. However, the question of providing incentives to nodes to forward data has largely been ignored in the cross layer domain, even though providing incentives is vital for the network: each node represents a user comparing his or her satisfaction and the cost to decide on his or her participation. A likely reason for the gap in cross layer incentive research is the necessity to model users as well as the network in order to express a user's utility, which requires knowledge in both fields. In order to foster future research in the area of cross layer incentive schemes, this work proposes a general cross layer simulation model combining user and network models. Moreover, an instantiation of the simulation model for the use case of live video broadcasting is presented.
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