Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Real-World Performance of Clear Channel Assessment in 802.15.4 Wireless Sensor Networks
SENSORCOMM '08 Proceedings of the 2008 Second International Conference on Sensor Technologies and Applications
Proceedings of the 6th ACM conference on Embedded network sensor systems
A building block approach to sensornet systems
Proceedings of the 6th ACM conference on Embedded network sensor systems
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
An empirical study of low-power wireless
ACM Transactions on Sensor Networks (TOSN)
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Surviving wi-fi interference in low power ZigBee networks
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Making sensornet MAC protocols robust against interference
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
pTunes: runtime parameter adaptation for low-power MAC protocols
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Idleness as a resource in energy-neutral WSNs
Proceedings of the 1st International Workshop on Energy Neutral Sensing Systems
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Low Power Listening (LPL) is a common MAC-layer technique for reducing energy consumption in wireless sensor networks, where nodes periodically wakeup to sample the wireless channel to detect activity. However, LPL is highly susceptible to false wakeups caused by environmental noise being detected as activity on the channel, causing nodes to spuriously wakeup in order to receive nonexistent transmissions. In empirical studies in residential environments, we observe that the false wakeup problem can significantly increase a node's duty cycle, compromising the benefit of LPL. We also find that the energy-level threshold used by the Clear Channel Assessment (CCA) mechanism to detect channel activity has a significant impact on the false wakeup rate. We then design AEDP, an adaptive energy detection protocol for LPL, which dynamically adjusts a node's CCA threshold to improve network reliability and duty cycle based on application-specified bounds. Empirical experiments in both controlled tests and real-world environments showed AEDP can effectively mitigate the impact of noise on radio duty cycles, while maintaining satisfactory link reliability.