Neural network design
Wireless integrated network sensors
Communications of the ACM
Proceedings of the 7th annual international conference on Mobile computing and networking
Machine Learning
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
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
Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Impact of radio irregularity on wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Analysis of wireless sensor networks for habitat monitoring
Wireless sensor networks
Comparison of routing metrics for static multi-hop wireless networks
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
A wireless sensor network For structural monitoring
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
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
Statistical model of lossy links in wireless sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
MoteLab: a wireless sensor network testbed
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
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
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern matching based link quality prediction in wireless mobile ad hoc networks
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
Experimental study of concurrent transmission in wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
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
Fidelity and yield in a volcano monitoring sensor network
OSDI '06 Proceedings of the 7th symposium on Operating systems design and implementation
Predicting link quality using supervised learning in wireless sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
Link quality prediction in mesh networks
Computer Communications
Designing a reliable and stable link quality metric for wireless sensor networks
Proceedings of the workshop on Real-world wireless sensor networks
The β-factor: measuring wireless link burstiness
Proceedings of the 6th ACM conference on Embedded network sensor systems
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Bursty traffic over bursty links
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
An empirical study of low-power wireless
ACM Transactions on Sensor Networks (TOSN)
EURASIP Journal on Wireless Communications and Networking - Special issue on design, implementation, and evaluation of wireless sensor network systems
Prediction accuracy of link-quality estimators
EWSN'11 Proceedings of the 8th European conference on Wireless sensor networks
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)
TALENT: temporal adaptive link estimator with no training
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
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As an integral part of reliable communication in wireless networks, effective link estimation is essential for routing protocols. However, due to the dynamic nature of wireless channels, accurate link quality estimation remains a challenging task. In this article, we propose 4C, a novel link estimator that applies link quality prediction along with link estimation. Our approach is data driven and consists of three steps: data collection, offline modeling, and online prediction. The data collection step involves gathering link quality data, and based on our analysis of the data, we propose a set of guidelines for the amount of data to be collected in our experimental scenarios. The modeling step includes offline prediction model training and selection. We present three prediction models that utilize different machine learning methods, namely, naive Bayes classifier, logistic regression, and artificial neural networks. Our models take a combination of PRR and the physical-layer information, that is, Received Signal Strength Indicator (RSSI), Signal-to-Noise Ratio (SNR), and Link Quality Indicator (LQI) as input, and output the success probability of delivering the next packet. From our analysis and experiments, we find that logistic regression works well among the three models with small computational cost. Finally, the third step involves the implementation of 4C, a receiver-initiated online link quality prediction module that computes the short temporal link quality. We conducted extensive experiments in the Motelab and our local indoor testbeds, as well as an outdoor deployment. Our results with single- and multiple-senders experiments show that with 4C, CTP improves the average cost of delivering a packet by 20% to 30%. In some cases, the improvement is larger than 45%.