Wireless Communications
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
ATPC: adaptive transmission power control for wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
ICN '07 Proceedings of the Sixth International Conference on Networking
Minimising the effect of WiFi interference in 802.15.4 wireless sensor networks
International Journal of Sensor Networks
Taking the sting out of carrier sense: interference cancellation for wireless LANs
Proceedings of the 14th ACM international conference on Mobile computing and networking
The β-factor: measuring wireless link burstiness
Proceedings of the 6th ACM conference on Embedded network sensor systems
Analog Integrated Circuits and Signal Processing
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Energy-efficient detection of intermittent interference in wireless sensor networks
International Journal of Sensor Networks
Channel selection in spectrum agile and cognitive MAC protocols for wireless sensor networks
Proceedings of the 8th ACM international workshop on Mobility management and wireless access
Surviving wi-fi interference in low power ZigBee networks
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Mitigating the effects of RF interference through RSSI-Based error recovery
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
A survey of spectrum sensing algorithms for cognitive radio applications
IEEE Communications Surveys & Tutorials
EWSN'13 Proceedings of the 10th European conference on Wireless Sensor Networks
SoNIC: classifying interference in 802.15.4 sensor networks
Proceedings of the 12th international conference on Information processing in sensor networks
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Reliability of communications is key to expand application domains for sensor networks. Since Wireless Sensor Networks (WSN) operate in the license-free Industrial Scientific and Medical (ISM) bands and hence share the spectrum with other wireless technologies, addressing interference is an important challenge. In order to minimize its effect, nodes can dynamically adapt radio resources provided information about current spectrum usage is available. We present a new channel quality metric, based on availability of the channel over time, which meaningfully quantifies spectrum usage. We discuss the optimum scanning time for capturing the channel condition while maintaining energy-efficiency. Using data collected from a number of Wi-Fi networks operating in a library building, we show that our metric has strong correlation with the Packet Reception Rate (PRR). This suggests that quantifying interference in the channel can help in adapting resources for better reliability. We present a discussion of the usage of our metric for various resource allocation and adaptation strategies.