A supervised learning approach for routing optimizations in wireless sensor networks
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IPOM'07 Proceedings of the 7th IEEE international conference on IP operations and management
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GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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EURASIP Journal on Wireless Communications and Networking - Special issue on simulators and experimental testbeds design and development for wireless networks
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WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
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ACM Transactions on Sensor Networks (TOSN)
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International Journal of Communication Systems
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Computer Communications
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Image Communication
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This paper considers the problem of selecting good paths in a wireless mesh network. It is well-known that picking the path with the smallest number of hops between two nodes often leads to poor performance, because such paths tend to use links that could have marginal quality. As a result, quality-aware routing metrics are desired for networks that are built solely from wireless radios. Previous work has developed metrics (such as ETX) that work well when wireless channel conditions are relatively static (DeCouto , 2003), but typical wireless channels experience variations at many time-scales. For example, channels may have low average packet loss ratios, but with high variability, implying that metrics that use the mean loss ratio will perform poorly. In this paper, we describe two new metrics, called modified expected number of transmissions (mETX) and effective number of transmissions (ENT) that work well under a wide variety of channel conditions. In addition to analyzing and evaluating the performance of these metrics, we provide a unified geometric interpretation for wireless quality-aware routing metrics. Empirical observations of a real-world wireless mesh network suggest that mETX and ENT could achieve a 50% reduction in the average packet loss rate compared with ETX