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Department of Computer Science & Engineering > Research > Technical Reports > Energy-Efficient Low Power Listening for Wireless Sensor Networks in Noisy Environments  

Technical Reports: Energy-Efficient Low Power Listening for Wireless Sensor Networks in Noisy Environments

Title

Energy-Efficient Low Power Listening for Wireless Sensor Networks in Noisy Environments 

File Date

4/9/2012 

Abstract

Low Power Listening (LPL) is a common MAC-layer technique for reducing energy consumption in wireless sensor networks, where nodes periodically wake up 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 wake up 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 adjust 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.

Authors

Mo Sha, Gregory Hackmann, Chenyang Lu

E-Mail

 

Notes

 

Web Page

 

Type of Report

Other 
Approval Status Approved 
 
Attachments
aedp.pdf    
Content Type: Item
Created at 7/28/2011 12:51 PM  by Mo Sha 
Last modified at 2/15/2013 3:53 PM  by Moehle, Jayme