John Heidemann / Papers / Tones for Real: Managing Multipath in Underwater Acoustic Wakeup

Tones for Real: Managing Multipath in Underwater Acoustic Wakeup
Affan A
USC/Information Sciences Institute

Citation

Affan A. Syed, John Heidemann and Wei Ye. Tones for Real: Managing Multipath in Underwater Acoustic Wakeup. ACM Transactions on Sensor Networks. 9, 3 (Aug. 2013), 27:1–27:24. [DOI] [PDF] [alt PDF]

Abstract

The principles of sensor networks—low-power, wireless, in-situ sensing with many inexpensive sensors—are only recently penetrating into underwater research. Acoustic communication is best suited for underwater communication, with much lower attenuation than RF, but acoustic propagation is five orders-of-magnitude slower than RF, so propagation times stretch to hundreds of milliseconds. Low-power wakeup tones are present in new underwater acoustic modems, and when added to applications and MAC protocols they reduce energy consumption wasted on idle listening. Unfortunately, underwater acoustic tones suffer from self-multipath—echoes unique to the latency that can completely defeat their protocol advantages. We introduce Self-Reflection Tone Learning (SRTL), a novel approach where nodes use Bayesian techniques to address interference by learning to discriminate self-reflections from noise and independent communication. We present detailed experiments using an acoustic modem in controlled and uncontrolled, in-air and underwater environments. These experiments demonstrate that SRTL’s knowledge corresponds to physical-world predictions, that it can cope with underwater noise and reasonable levels of artificial noise, and that it can track a changing multi-path environment. Simulations confirm that these real-world experiments generalize over a wide range of conditions.

Bibtex Citation

@article{Syed13a,
  author = {Syed, Affan A. and Heidemann, John and Ye, Wei},
  title = {Tones for Real: Managing Multipath in Underwater Acoustic Wakeup},
  journal = {ACM Transactions on Sensor Networks},
  year = {2013},
  sortdate = {2013-08-01},
  project = {ilense, ortun, cisoft},
  jsubject = {sensornet_high_latency},
  volume = {9},
  number = {3},
  pages = {27:1--27:24},
  month = aug,
  jlocation = {johnh: pafile},
  keywords = {underwater MAC, self-reflection},
  url = {https://ant.isi.edu/%7ejohnh/PAPERS/Syed13a.html},
  pdfurl = {https://ant.isi.edu/%7ejohnh/PAPERS/Syed13a.pdf},
  doi = {http://dx.doi.org/http://dx.doi.org/10.1145/2422966.2422984},
  myorganization = {USC/Information Sciences Institute},
  copyrightholder = {ACM},
  copyrightterms = {
  	Permission to make digital or hard
   	copies of portions of this work for personal or
   	classroom use is granted without fee provided that
   	the copies are not made or distributed for profit or
   	commercial advantage and that copies bear this
   	notice and the full citation on the first page in
   	print or the first screen in digital
   	media. Copyrights for components of this work owned
   	by others than ACM must be honored. Abstracting with
   	credit is permitted. 
   	otherwise, to republish, to post on servers, or to
   	redistribute to lists, requires prior specific
   	permission and/or a fee. Send written requests for
   	republication to ACM Publications, Copyright &
   	Permissions at the address above or fax +1 (212)
   	869-0481 or email permissions@acm.org.}
}

Copyright

Permission to make digital or hard copies of portions of this work for personal or classroom use is granted without fee provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page in print or the first screen in digital media. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Send written requests for republication to ACM Publications, Copyright & Permissions at the address above or fax +1 (212) 869-0481 or email permissions@acm.org.
Copyright © by John Heidemann