A high-throughput path metric for multi-hop wireless routing
Proceedings of the 9th annual international conference on Mobile computing and networking
Understanding packet delivery performance in dense wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Link-level measurements from an 802.11b mesh network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Temporal properties of low power wireless links: modeling and implications on multi-hop routing
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Measurement-based models of delivery and interference in static wireless networks
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
An empirical study of low-power wireless
ACM Transactions on Sensor Networks (TOSN)
Efficient error estimating coding: feasibility and applications
Proceedings of the ACM SIGCOMM 2010 conference
Predictable 802.11 packet delivery from wireless channel measurements
Proceedings of the ACM SIGCOMM 2010 conference
F-LQE: a fuzzy link quality estimator for wireless sensor networks
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
Radio link quality estimation in wireless sensor networks: A survey
ACM Transactions on Sensor Networks (TOSN)
Detection of reactive jamming in DSSS-based wireless networks
Proceedings of the sixth ACM conference on Security and privacy in wireless and mobile networks
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We present BLITZ, a novel link quality estimator that relies on physical-layer synchronization errors to estimate the expected packet delivery ratio of wireless links. In contrast to all existing link quality estimators which estimate the packet delivery based on statistics from packets that are successfully decoded, our technique works even when packets at the receiver are not correctly received, i.e., when the synchronization fails. The core idea of BLITZ is to exploit information from chip errors in the received preamble of any transmitted direct sequence spread spectrum signals such as IEEE 802.15.4. Using extensive measurements over cable, wireless static and wireless mobile scenarios, we show that our proposed estimator outperforms existing estimators in terms of both accuracy and speed. Across diverse environmental conditions and the full range of possible link qualities, BLITZ provides packet delivery ratio estimates with an absolute error below six percent within just a few milliseconds.