Mitigating Erroneous Wake-ups
Article No.: 64, Pages 1 - 2
Abstract
We propose a novel method for mitigating erroneous wake-ups that are commonly associated with ultra-low power wake-up receivers. Recent research in low-power protocols has demonstrated significant improvements in energy-efficiency by employing ultra-low power wake-up receivers. However, due to the low-complexity receiver structures adopted, wake-up receivers are susceptible to external interference, which can cause the detection of non-existent wake-ups. The occurrence of these erroneous wake-ups wastes precious energy resources, thereby negating the potential energy savings in employing wake-up receivers. We address this challenging problem by extracting time-domain features from the output of the wake-up receiver, and construct a classifier to distinguish between correct and erroneous wake-ups. We describe the design of the proposed wake-up classifier and present preliminary results.
References
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Jeongki Choi, Kanghyuk Lee, Seok-Oh Yun, Sang-Gug Lee, and Jinho Ko. 2012. An interference-aware 5.8 GHz wake-up radio for ETCS. In ISSCC.
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Ilker Demirkol, Cem Ersoy, and Ertan Onur. 2009. Wake-up receivers for wireless sensor networks: benefits and challenges. IEEE Wireless Communications (2009).
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Christian Hambeck, Stefan Mahlknecht, and Thomas Herndl. 2011. A 2.4 μW wake-up receiver for wireless sensor nodes with -71dBm sensitivity. In ISCAS.
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Roman Lim et al. 2013. FlockLab: A testbed for distributed, synchronized tracing and profiling of wireless embedded systems. In IPSN.
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Seunghyun Oh et al. 2013. A 116nW multi-band wake-up receiver with 31-bit correlator and interference rejection. In CICC.
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Joaquim Oller et al. 2012. Time-Knocking: A novel addressing mechanism for wake-up receivers. In WiMob.
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Chiara Petrioli et al. 2014. A novel wake-up receiver with addressing capability for wireless sensor nodes. In DCOSS.
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Index Terms
- Mitigating Erroneous Wake-ups
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 06 November 2017
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- Short-paper
- Research
- Refereed limited
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SenSys '17: The 15th ACM Conference on Embedded Network Sensor Systems
November 6 - 8, 2017
Delft, Netherlands
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Overall Acceptance Rate 198 of 990 submissions, 20%
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