A high-throughput path metric for multi-hop wireless routing
Proceedings of the 9th annual international conference on Mobile computing and networking
Link-level measurements from an 802.11b mesh network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Routing in multi-radio, multi-hop wireless mesh networks
Proceedings of the 10th 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
Real-time deployment of multihop relays for range extension
Proceedings of the 5th international conference on Mobile systems, applications and services
Rapidly-deployable mesh network testbed
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Automatic and robust breadcrumb system deployment for indoor firefighter applications
Proceedings of the 8th international conference on Mobile systems, applications, and services
Performance evaluations of ZigBee in different smart grid environments
Computer Networks: The International Journal of Computer and Telecommunications Networking
Providing reliable and real-time delivery in the presence of body shadowing in breadcrumb systems
ACM Transactions on Embedded Computing Systems (TECS)
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This paper investigates methods for link quality measurement of an indoor, time-varying wireless link. Link quality estimates are used for a number of higher-layer functions, including rate adaptation, routing, and topology control. The objective is to rapidly and efficiently estimate the current reliability of an RF link in terms of its packet success probability in the presence of a time-varying channel. We compare various approaches to estimating the current packet success rate (PSR), including packet counting and several methods employing physical layer signal-to-noise ratio (SNR) measurements. Among the SNR-based estimators, we consider those using a simple moving average, an exponential moving average, and a Yule-Walker predictor of the current SNR. The analysis shows that the SNR-based estimators are more efficient than packet counting methods in terms of the number of measurements needed, are more accurate when link quality variability increases, and are more flexible in terms of predicting the PSR for various bit rates and packet sizes. An important requirement, however, of the SNR-based estimators is a priori knowledge of the SNR-PSR relationship, which is environment- and radio-dependent. An efficient methodology for obtaining this mapping is presented.