Communication protocols for underwater data collection using a robotic sensor network
Name
Hover_Communication protocols.pdf
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283.59 KB
Format
Adobe PDF
Checksum (MD5)
9ab24006479e3838e3e91ac63212f341
Author(s)
Singh, Hanumant
Hover, Franz S.
Murphy, Christopher
Hollinger, Geoffrey A.
Choudhary, Sunav
Qarabaqi, Parastoo
Mitra, Urbashi
Sukhatm, Gaurav S.
Stojanovic, Milica
Date Issued
May 1, 2013
Journal
Proceedings of the 2011 IEEE GLOBECOM Workshops (GC Wkshps)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Hollinger, Geoffrey A. et al. “Communication protocols for underwater data collection using a robotic sensor network.” Proceedings of the 2011 IEEE GLOBECOM Workshops (GC Wkshps), 2011. 1308–1313.
Version
Author's final manuscript
Abstract
We examine the problem of collecting data from an underwater sensor network using an autonomous underwater vehicle (AUV). The sensors in the network are equipped with acoustic modems that provide noisy, range-limited communication to the AUV. One challenge in this scenario is to plan paths that maximize the information collected and minimize travel time. While executing a path, the AUV can improve performance by communicating with multiple nodes in the network at once. Such multi-node communication requires a scheduling protocol that is robust to channel variations and interference. To solve this problem, we develop and test a multiple access control protocol for the underwater data collection scenario. We perform simulated experiments that utilize a realistic model of acoustic communication taken from experimental test data. These simulations demonstrate that properly designed scheduling protocols are essential for choosing the appropriate path planning algorithms for data collection.
MIT Department
Joint Program in Oceanography/Applied Ocean Science and Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
Woods Hole Oceanographic Institution
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/GLOCOMW.2011.6162397
