Elements of information theory
Elements of information theory
Impact of interference on multi-hop wireless network performance
Proceedings of the 9th annual international conference on Mobile computing and networking
Fairness and load balancing in wireless LANs using association control
Proceedings of the 10th annual international conference on Mobile computing and networking
A scalable model for channel access protocols in multihop ad hoc networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Jigsaw: solving the puzzle of enterprise 802.11 analysis
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Analyzing the MAC-level behavior of wireless networks in the wild
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
A general model of wireless interference
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
A measurement-based approach to modeling link capacity in 802.11-based wireless networks
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Interference map for 802.11 networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Online optimization of 802.11 mesh networks
Proceedings of the 5th international conference on Emerging networking experiments and technologies
Inferring and mitigating a link's hindering transmissions in managed 802.11 wireless networks
Proceedings of the sixteenth annual international conference on Mobile computing and networking
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In 802.11 managed wireless networks, the manager can address underserved links by rate-limiting the conflicting nodes. In order to determine to what extent each conflicting node is responsible for the poor performance, the manager needs to understand the coordination among conflicting nodes' transmissions. In this paper, we present a management framework called Management, Inference, and Diagnostics using Activity Share (MIDAS). We introduce the concept of Activity Share, which characterizes the coordination among any set of network nodes in terms of the time they spend transmitting simultaneously. Unfortunately, the Activity Share cannot be locally measured by the nodes. Thus, MIDAS comprises an inference tool that, based on a combined physical, protocol, and statistical approach, infers the Activity Share by using a small set of passively collected, time-aggregate local channel measurements reported by the nodes. MIDAS uses the estimated Activity Share as the input of a simple model that predicts how limiting the transmission rate of any conflicting node would benefit the throughput of the underserved link. The model is based on the current network conditions, thus representing the first throughput model using online measurements. We implemented our tool on real hardware and deployed it on an indoor testbed. Our extensive validation combines testbed experiments and simulations. The results show that MIDAS infers the Activity Share with a mean relative error as low as 4% in testbed experiments.