无线自组织网络中多描述视频的多路径路由

S. Mao, Yiwei Thomas Hou, Xiaolin Cheng, H. Sherali, S. Midkiff
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引用次数: 77

摘要

随着无线特设网络的继续发展,除了简单的数据通信外,人们越来越期望在这种网络中支持内容丰富的多媒体通信(例如视频)。多描述(MD)视频编码技术的最新进展使其非常适合此类网络中的多媒体应用。本文研究了无线自组织网络中MD视频的多径路由问题。我们遵循以应用为中心的跨层方法,并制定了一个最佳路由问题,以最大限度地减少应用层视频失真。结果表明,该优化问题具有高度复杂的目标函数,无法得到精确的解析解。然而,我们发现诸如遗传算法(GAs)之类的元启发式方法在解决这类复杂的跨层优化问题方面非常有效。我们提供了基于遗传算法的方法的详细解决程序,以及视频失真的严格下界。我们使用数值结果来证明基于遗传算法的方法的优越性能,并将其与其他几种方法进行比较。我们在这项工作中的努力为解决复杂的跨层优化问题提供了一个重要的方法,特别是那些涉及应用程序和网络层的问题。
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Multipath routing for multiple description video in wireless ad hoc networks
As developments in wireless ad hoc networks continue, there is an increasing expectation with regard to supporting content-rich multimedia communications (e.g., video) in such networks, in addition to simple data communications. The recent advances in multiple description (MD) video coding have made it highly suitable for multimedia applications in such networks. In this paper, we study the important problem of multipath routing for MD video in wireless ad hoc networks. We follow an application-centric cross-layer approach and formulate an optimal routing problem that minimizes the application layer video distortion. We show that the optimization problem has a highly complex objective function and an exact analytic solution is not obtainable. However, we find that a meta-heuristic approach such as genetic algorithms (GAs) is eminently effective in addressing this type of complex cross-layer optimization problems. We provide a detailed solution procedure for the GA-based approach, as well as a tight lower bound for video distortion. We use numerical results to demonstrate the superior performance of the GA-based approach and compare it to several other approaches. Our efforts in this work provide an important methodology for addressing complex cross-layer optimization problems, particularly those involving application and network layers.
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