Route Maintenance in IEEE 802.11 wireless mesh networks
Computer Communications
Channel sensing strategy for channel load estimation
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
An experimental evaluation of packet-level measurements of hidden traffic load
WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
Energy-based rate adaptation for 802.11n
Proceedings of the 18th annual international conference on Mobile computing and networking
Enhancing the performance of TCP over Wi-Fi power saving mechanisms
Wireless Networks
Practical opportunistic routing in high-speed multi-rate wireless mesh networks
Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing
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Rate adaptation is a critical component that impacts the performance of IEEE 802.11 wireless networks. In congested networks, traditional rate adaptation algorithms have been shown to choose lower data-rates for packet transmissions, leading to reduced total network throughput and capacity. A primary reason for this behavior is the lack of real-time congestion measurement techniques that can assist in the identification of congestion-related packet losses in a wireless network. In this work, we first propose two real-time congestion measurement techniques, namely an active probe-based method called Channel Access Delay, and a passive method called Channel Busy Time. We evaluate the two techniques in a testbed network and a large WLAN connected to the Internet. We then present the design and evaluation of Wireless cOngestion Optimized Fallback (WOOF), a rate adaptation scheme that uses congestion measurement to identify congestion-related packet losses. Through simulation and testbed implementation we show that, compared to other well-known rate adaptation algorithms, WOOF achieves up to 300 percent throughput improvement in congested networks.