利用势场最小化认知无线电中的路由延迟

J. Oksanen, Brett Kaufman, V. Koivunen, H. Poor
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引用次数: 4

摘要

提出了一种基于延迟感知势场的认知无线电路由算法。该方法受到机器人导航中应用的势场技术的启发。所提方法的新颖之处在于识别了无线网络中的分组路由与机器人导航中的避障之间的相似性。这允许将期望的通信目的地建模为吸引力,将干扰源建模为排斥力,在避免干扰的同时将数据包引导到目的地。数据包沿着这些力诱导的势向目的地路由。在本文中,我们主要关注最小化路由延迟,但也可以使用其他路由指标,如能量。结果表明,基于延迟感知势场的路由方法可以在保证干扰保持在可容忍水平的同时显著降低平均路由延迟。此外,通过仿真表明,次优但计算简单的最优势场的一次迭代版本可以获得接近最优的延迟性能。仿真结果还表明,通过知道(或花费一些资源来查找)PU接收器的位置可以显着降低平均延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimizing the routing delay in cognitive radios using potential fields
In this paper a novel delay aware potential field based routing is proposed for cognitive radio. The proposed methods are inspired by potential field techniques applied in robot navigation. The novelty of the proposed methods arises from identifying the analogy between packet routing in wireless networks and obstacle avoidance in robot navigation. This allows for the modeling of desired communication destinations as attractive forces and sources of interference as repulsive forces, that guide the packet towards the destination while avoiding interference. The packets are routed along the potential induced by these forces towards the destination. In this paper we focus on minimizing the route delay, but other routing metrics such as energy could be used as well. It is shown that the proposed delay aware potential field based routing method can significantly reduce the average route delay while ensuring that the interference induced remains in tolerable levels. Furthermore, it is shown via simulations that a suboptimal but computationally simpler one-iteration version of the optimal potential field can achieve delay performance that is close to optimum. The simulation results also illustrate that by knowing (or by spending some resources in finding out) the PU receiver location can significantly reduce the average delay.
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