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Modeling of Physical Carrier Sense in Multi-hop Wireless Networks and Its Use in Joint Power Control and Carrier Sense Adjustment

机译:多跳无线网络中物理载波侦听建模及其在联合功率控制和载波侦听调整中的应用

摘要

In this paper, we extend both Bianchi.s and Kumar.s models and characterize the channel activities governed by IEEE 802.11 DCF in multi-hop wireless networks from the perspective of an individual sender. In particular, we incorporate the effect of PHY/MAC attributes (such as transmit power and physical carrier sense) that need not be considered in WLANs but become extraordinarily important in multi-hop wireless networks, and derive the throughput attained by each sender. With the use of the analytical model derived, we investigate the impact of transmit power and carrier sense threshold on network capacity, and identify a simple operating condition under which the network may attain throughput that is close to its optimal value. Based on the insight shed from the analytical model, we then propose a distributed and localized algorithm, called Local Minimum Spanning Tree with Carrier Sense Adjustment (LMST-CSA) that determines both the transmit power and the carrier sense threshold of a node. We evaluate LMST-CSA via J-Sim simulation. Simulation results show that LMST-CSA achieves higher throughput as compared to conventional IEEE 802.11 DCF, LMST with no carrier sense adjustment, and LMST with static carrier sense adjustment.
机译:在本文中,我们扩展了Bianchi.s和Kumar.s模型,并从单个发送者的角度描述了多跳无线网络中IEEE 802.11 DCF控制的信道活动。特别是,我们结合了PHY / MAC属性(例如,发射功率和物理载波侦听)的影响,这些影响在WLAN中无需考虑,但在多跳无线网络中变得尤为重要,并得出每个发送方可获得的吞吐量。使用派生的分析模型,我们研究了发射功率和载波侦听阈值对网络容量的影响,并确定了一种简单的操作条件,在该条件下,网络可以获得接近其最佳值的吞吐量。根据分析模型得出的见解,我们然后提出一种分布式的本地化算法,称为带有载波感知调整的局部最小生成树(LMST-CSA),它确定节点的发射功率和载波感知阈值。我们通过J-Sim仿真评估LMST-CSA。仿真结果表明,与传统的IEEE 802.11 DCF,不带载波检测调整的LMST和带静态载波检测调整的LMST相比,LMST-CSA可以实现更高的吞吐量。

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