Link-level measurements from an 802.11b mesh network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Proceedings of the 11th annual international conference on Mobile computing and networking
Characterizing the capacity region in multi-radio multi-channel wireless mesh networks
Proceedings of the 11th annual international conference on Mobile computing and networking
Self-management in chaotic wireless deployments
Proceedings of the 11th annual international conference on Mobile computing and networking
Enabling distributed throughput maximization in wireless mesh networks: a partitioning approach
Proceedings of the 12th annual international conference on Mobile computing and networking
On accurate measurement of link quality in multi-hop wireless mesh networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Distributed quality-of-service routing in ad hoc networks
IEEE Journal on Selected Areas in Communications
Sybot: an adaptive and mobile spectrum survey system for wifi networks
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Cost-efficient design for higher capacity hybrid wireless-optical broadband access network (WOBAN)
Computer Networks: The International Journal of Computer and Telecommunications Networking
A taxonomy and evaluation for developing 802.11-based wireless mesh network testbeds
International Journal of Communication Systems
Adaptive Sending Rate Over Wireless Mesh Networks Using SNR
International Journal of Wireless Networks and Broadband Technologies
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We present novel Localized sElf-reconfiGuration algOrithms (LEGO) for a multi-radio wireless mesh network to autonomously and effectively recover from wireless link failures. First, LEGO locally detects link failures by accurately monitoring the network condition and, upon detection of a failure, triggers network reconfiguration. Second, it dynamically forms/deforms a local group for cooperative network reconfiguration among local mesh routers in a fully-distributed manner. Next, LEGO intelligently generates a local network reconfiguration plan through which a thus-formed group recovers from local failures, while keeping network changes to minimum. Finally, by figuring local channel utilization and reconfiguration cost in its planning, LEGO maximizes the network's ability to meet diverse links' QoS demands. LEGO has been implemented on a Linux-based system and experimented on a reallife testbed, demonstrating its effectiveness in recovering from link failures and its improvement of channel efficiency by up to 92%.