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Comparing OLSRd, d2 and -Q Using an Emulated 802.11 or TDMA MANET in a 2-ring Topology

机译:使用模拟的802.11或TDMA MANET在2环拓扑中使用olsrd,d2和-q比较

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A Q-learning solution called OLSR-Q was proposed and tuned by McAuley et al. in 2012 to improve the performance of Optimized Link State Routing (OLSR) using a TDMA MANET simulation and a testbed with real WiFi cards. Here, the use of either IEEE802.11 or TDMA radios are compared using real time emulations based on the open source EMANE platform implemented on a cluster of virtual machines. The open source OLSRd and newer OLSRd2 are analyzed and compared to our implementation called OLSRd2-Q2 of the OLSR-Q algorithm. The benefit of our OLSRd2-Q2 is clear when using TDMA radios but not when using IEEE802.11 radios. These preliminary results confirm the potential and the practical challenges of cognitive approaches to improve the MANET performance of the open source implementation OLSRd2.
机译:由Mcauley等人提出和调整名为OLSR-Q的Q学习解决方案。 2012年,通过使用TDMA MANET仿真和具有真实WiFi卡的测试平台来提高优化链路状态路由(OLSR)的性能。在这里,使用基于在虚拟机集群上实现的开源eman平台的实时仿真进行比较IEEE802.11或TDMA无线电。分析开源OLSRD和较新的OLSRD2,并与我们的OLSR-Q算法的OLSRD2-Q2的实现进行了比较。在使用TDMA无线电时,我们的OLSRD2-Q2的好处是清晰的,但在使用IEEE802.11无线电时,不明确。这些初步结果证实了认知方法的潜力和实际挑战,以改善开源实现OLSRD2的枪击性能。

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