基于碰撞概率的移动Ad Hoc网络可用带宽估计

S. Chaudhari, R. Biradar
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引用次数: 19

摘要

在移动自组织网络(manet)上实时传输数据的流应用需求日益增长。这些传输估计在每个节点的可用带宽(ABW)在manet中传输之前,信道是共享的。ABW主要取决于信道利用率,而信道利用率可以通过最小化丢包来提高。研究人员通过建立数据传输前收发对同步空闲时间模型、碰撞概率模型和随机等待模型,提出了多种减少丢包的技术。在本文中,我们提出了一种使用类似但经过修改的模型估计manet中ABW的方案。前期工作的空闲周期同步模型使用各种节点状态参数作为实际工作负载、最优工作负载下的信道利用率和最优工作负载下的碰撞率,而不是实际工作负载。我们使用实际的信道利用率和碰撞率。先前的碰撞概率模型使用相同的拉格朗日插值多项式,而不考虑节点的行为。我们根据节点的行为动态地在每个节点上计算单独的拉格朗日插值多项式。之前计算的随机等待时间并没有考虑所有的等待时间统计数据,我们的随机等待时间计算模型中加入了这些统计数据。与其他研究人员最近的工作相比,我们的方案估计的ABW精度提高了约19.99%。由于我们在每个节点动态计算拉格朗日插值多项式,显然它增加了计算开销,因为我们的目标是ABW的准确性,但在未来优化速度,因此忽略了计算开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collision probability based Available Bandwidth estimation in Mobile Ad Hoc Networks
Ever increasing demand for streaming applications transfer data in real-time over Mobile Ad hoc NETworks (MANETs). These transmission estimates Available Bandwidth (ABW) at each node before transmission in MANETs as channel is shared. The ABW mainly depends on the channel utilization which can be improved by minimizing packet losses. Researchers proposed many techniques to minimize the packet losses by developing models for synchronized idle period at sender-receiver pair before data transfer, collision probability and random waiting. In this paper, we propose a scheme of estimating ABW in MANETs using similar but modified models. The idle period synchronization model of previous work uses parameters of various node state for actual workload, channel utilization at optimal workload and collision rate at optimal workload instead of actual. We use the actual channel utilization and collision rate. The collision probability model of previous work uses same Lagrange Interpolation polynomial irrespective of node behavior. We compute separate Lagrange Interpolation polynomial at each node according to node behavior dynamically. The random waiting time calculated in previous work does not consider all waiting time statistics which is added in our model of random waiting time calculation. The ABW estimated by our scheme is approximately 19.99% more accurate compare to the recent work done by other researchers. As we are computing Lagrange Interpolation polynomial at each node dynamically, evidently it adds computation overhead which is ignored as our goal is towards accuracy of ABW but optimized for speed in future.
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