Jae-Yong Yoo

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Even though hot spots and mesh networks increasingly realize the long-standing vision of ubiquitous Internet access, our understanding of wireless protocols and system is still in its infancy. To analyze and debug the current and new protocols, packet-level accurate information of protocol status is crucially needed. Thus, this paper introduces PaPMo(More)
— Understanding the maximum end-to-end through-put available with any given wireless multi-hop network is an important, but very challenging task. It may be approximated up to certain degree for several simplified topologies such as chain, cross, and others. Typically, in case of chain-topology wireless multi-hop networks employing IEEE 802.11 DCF(More)
— This paper analyzes TCP fairness in IEEE 802.11-based Wireless Mesh Networks (WMNs). Fairness of bandwidth sharing is important for equitable network access by various users. With our Indoor WMN testbed, we observe that even though TCP flows have similar round trip time and loss probability , they encounter an unfairness problem. Especially, when TCP(More)
IEEE 802.11-based Enterprise WMNs (Wireless Mesh Networks) is one of possible practical extensions of WMNs. However, the wide adoption of Enterprise WMNs is limited by the flow unfairness problem due to the complicated interference relationship between adjacent nodes. To overcome this limitation, we propose FlowNet that centrally coordinates flows to(More)
—Transmission scheduling to improve the capacity in wireless mesh networks (WMNs) is challenging. One promising candidate solution is backpressure scheduling, which was proved to provide throughput optimality and queue stability in theory. Additionally, several recent practical systems that implement approximations of backpressure scheduling show(More)
—Back-pressure scheduling is known to play a crucial role in operating wireless mesh networks (WMNs). In this letter, we expand the back-pressure scheduling with broader control parameters for a selected practical domain. To solve this expanded problem, we propose a virtual-pressure scheduling algorithm that tries to find the control parameters for(More)