具有更好无线电模型的拓扑控制:对能量和多跳干扰的影响

D. Blough, M. Leoncini, G. Resta, P. Santi
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引用次数: 33

摘要

拓扑控制(TC)是一种被广泛研究的技术,用于无线自组织网络,用于寻找最大功率通信图的节能和/或低干扰子图。然而,现有工作存在以下局限性:(1)采用的能量模型很不现实,通常只考虑发射功率,假设无线电信号随距离均匀衰减;(2)干扰措施不考虑多跳通信。在本文中,我们展示了底层能量和干涉模型对TC的巨大影响。特别是,我们证明了通过使用更现实的能量模型并考虑多跳干扰的影响,可以得出完全不同的TC结论;即:(1)节能TC本质上是没有意义的,因为每个链路都是“高效的”;(2)从多跳干扰的角度来看,当前文献中被认定为“干扰最优”的拓扑可能是非常糟糕的。鉴于这些观察结果,我们提出了一种新的链路干扰测量方法,将其扩展到处理多跳干扰,并设计了相应的最优通信子图,称为ATASP。我们证明,在最坏的情况下,ATASP与最大功率通信图一致,表明在一些不幸的情况下,也执行基于多跳干扰的TC是毫无意义的。然而,本文随机节点部署的仿真结果表明,平均而言,ATASP是最大功率通信图的稀疏子图,基于多跳干扰的TC确实是可能的。由于计算ATASP需要全局知识,我们通过模拟已知的节能TC局部算法进行实验,并表明它们在多跳干扰方面表现良好(平均而言)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Topology control with better radio models: implications for energy and multi-hop interference
Topology Control (TC) is a well-studied technique used in wireless ad hoc networks to find energy-efficient and/or low-interference subgraphs of the maxpower communication graph. However, existing work has the following limitations: (1) the energy model adopted is quite unrealistic - only transmit power is often considered and homogeneous decay of the radio signal with distance is assumed; (2) the interference measure does not account for multi-hop communications. In this paper, we show the dramatic effect of the underlying energy and interference model on TC. In particular, we demonstrate that by using more realistic energy models and considering the effects of multi-hop interference, radically different conclusions about TC can be drawn; namely that (1) energy efficient TC is essentially meaningless, since every link turns out to be "efficient", and that (2) topologies identified as "interference-optimal" in the current literature can be extremely bad from the viewpoint of multi-hop interference. Given these observations, we propose a new measure of link interference, extend it to deal with multi-hop interference, and design a corresponding optimal communication subgraph, called ATASP. We prove that, in the worst case, ATASP coincides with the maxpower communication graph, showing that in some unfortunate situations also performing multi-hop interference-based TC is pointless. However, the simulation results with random node deployments presented in this paper show that, on the average, ATASP is a sparse subgraph of the maxpower communication graph, and multi-hop interference-based TC is indeed possible. Since computing ATASP requires global knowledge, we experiment through simulation with known localized algorithms for energy-efficient TC and show that they perform well (on the average) with respect to multi-hop interference.
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