Coexistence of Multi-Dimensional Chirp Spread Spectrum in Underwater Acoustic Networks
Article No.: 2, Pages 1 - 8
Abstract
Most underwater acoustic networks lack standard communication protocols, which leads communication nodes to operate in heterogeneous networks using physical layers. This exposes challenges to efficient spectrum allocation and channel utilization in large-scale underwater networks. To address these challenges, Multi-Dimensional Chirp Spread Spectrum (MCSS) is proposed as a physical layer that enables robust and efficient communication under the interference of unregulated physical layers in a heterogeneous network manner. Usage of MCSS offers zero signaling exchange among the coexisting technologies while maintaining successful communication and cooperative information rate increase. We first evaluated the performance of the proposed communication scheme in a heterogeneous network setting where it co-exists with a ZP-OFDM communication link, then in a homogeneous network setting where all links are using MCSS scheme.
References
[1]
Lorenzo Bertizzolo, Emrecan Demirors, Zhangyu Guan, and Tommaso Melodia. 2020. CoBeam: Beamforming-based Spectrum Sharing With Zero Cross-Technology Signaling for 5G Wireless Networks. In Proc. of IEEE Conference on Computer Communications (INFOCOM). 1429–1438.
[2]
Chris Capus, Yan Pailhas, Keith Brown, David M. Lane, Patrick W. Moore, and Dorian Houser. 2007. Bio-inspired wideband sonar signals based on observations of the bottlenose dolphin (Tursiops truncatus). The Journal of the Acoustical Society of America 121, 1(2007), 594–604. https://doi.org/10.1121/1.2382344 arXiv:https://doi.org/10.1121/1.2382344
[3]
E. Demirors, J. Shi, A. Duong, N. Dave, R. Guida, B. Herrera, F. Pop, G. Chenand C. Casella, S. Tadayon, M. Rinaldi, S. Basagni, M. Stojanovic, and T. Melodia. 2018. The SEANet Project: Toward a Programmable Internet of Underwater Things. In Proc. of IEEE Underwater Communications Conf. And Workshop (UComms). Lerici, Italy.
[4]
E. Demirors, G. Sklivanitis, G. E. Santagati, T. Melodia, and S. N. Batalama. 2018. A High-Rate Software-Defined Underwater Acoustic Modem With Real-Time Adaptation Capabilities. IEEE Access 6(2018), 18602–18615.
[5]
E. Demirors and T. Melodia. 2016. Chirp-Based LPD/LPI Underwater Acoustic Communications with Code-Time-Frequency Multidimensional Spreading. In Proc. of ACM Intl. Conf. on Underwater Networks & Systems (WUWNet). Shanghai, China.
[6]
E. Demirors, J. Shi, R. Guida and T. Melodia. 2016. SEANet G2: A Toward a High-Data-Rate Software-Defined Underwater Acoustic Networking Platform. In Proc. of ACM Intl. Conf. on Underwater Networks & Systems (WUWNet). Shanghai, China.
[7]
Kanke Gao, Lei Ding, Tommaso Melodia, Stella N. Batalama, Dimitris A. Pados, and John D. Matyjas. 2011. Spread-spectrum cognitive networking: Distributed channelization and routing. In 2011 - MILCOM 2011 Military Communications Conference. 1250–1255. https://doi.org/10.1109/MILCOM.2011.6127472
[8]
D. S. Houser, D. A. Helweg, and P. W. Moore. 1999. Classification of dolphin echolocation clicks by energy and frequency distributions. The Journal of the Acoustical Society of America 106, 3(1999), 1579–1585. https://doi.org/10.1121/1.427153 arXiv:https://doi.org/10.1121/1.427153
[9]
Ming Li, Stella N. Batalama, Dimitris A. Pados, Tommaso Melodia, Michael J. Medley, and John D. Matyjas. 2011. Cognitive Code-Division Links with Blind Primary-System Identification. IEEE Transactions on Wireless Communications 10, 11(2011), 3743–3753. https://doi.org/10.1109/TWC.2011.091911.101260
[10]
X. Lurton. 2002. An Introduction to Underwater Acoustics: Principles and Applications. Springer. https://books.google.com.tr/books?id=VTNRh3pyCyMC
[11]
T. Melodia, H. Kulhandjian, L. Kuo, and E. Demirors. 2013. Advances in Underwater Acoustic Networking. In Mobile Ad Hoc Networking: Cutting Edge Directions (2nd ed.), S. Basagni, M. Conti, S. Giordano, and I. Stojmenovic (Eds.). John Wiley and Sons, Inc., Hoboken, NJ, 804–852.
[12]
Dario Pompili, Tommaso Melodia, and Ian F. Akyildiz. 2009. A CDMA-based Medium Access Control for UnderWater Acoustic Sensor Networks. IEEE Transactions on Wireless Communications 8, 4(2009), 1899–1909. https://doi.org/10.1109/TWC.2009.080195
[13]
Andreja Radosevic, Rameez Ahmed, Tolga M. Duman, John G. Proakis, and Milica Stojanovic. 2014. Adaptive OFDM Modulation for Underwater Acoustic Communications: Design Considerations and Experimental Results. IEEE Journal of Oceanic Engineering 39, 2 (2014), 357–370. https://doi.org/10.1109/JOE.2013.2253212
[14]
Jonathan Rodriguez. 2014. The Wireless Spectrum Crunch. 165–189. https://doi.org/10.1002/9781118867464.ch7
[15]
G. Enrico Santagati, Tommaso Melodia, Laura Galluccio, and Sergio Palazzo. 2015. Medium Access Control and Rate Adaptation for Ultrasonic Intrabody Sensor Networks. IEEE/ACM Transactions on Networking 23, 4 (2015), 1121–1134. https://doi.org/10.1109/TNET.2014.2316675
[16]
M.Z. Win and R.A. Scholtz. 2000. Ultra-wide bandwidth time-hopping spread-spectrum impulse radio for wireless multiple-access communications. IEEE Transactions on Communications 48, 4 (2000), 679–689. https://doi.org/10.1109/26.843135
Recommendations
Toward Transparent Coexistence for Multihop Secondary Cognitive Radio Networks
The dominate spectrum sharing paradigm of today is interference avoidance, where a secondary network can use the spectrum only when such a use is not interfering with the primary network. However, with the advances of physical-layer technologies, the ...
Coexistence in heterogeneous spectrum through distributed correlated equilibrium in cognitive radio networks
Coexistence protocols enable collocated cognitive radio networks (CRNs) to share the spectrum in an opportunistic manner. These protocols work under the assumption that all spectrum bands provide the same level of throughput. This assumption is however ...
Coexistence features of LTE-U for spectrum sharing with collocated Wi-Fi: demo
MobiHoc '16: Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and ComputingThis over-the-air demo presents the coexistence features of LTE-U namely, (i) dynamic channel selection and (ii) adaptive radio duty cycle operation to allow symbiotic coexistence with collocated networks such as Wi-Fi. The LTE-U coexistence features ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
November 2022
190 pages
ISBN:9781450399524
DOI:10.1145/3567600
Copyright © 2022 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that 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. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 29 December 2022
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
WUWNet'22
WUWNet'22: The 16th International Conference on Underwater Networks & Systems
November 14 - 16, 2022
MA, Boston, USA
Acceptance Rates
Overall Acceptance Rate 84 of 180 submissions, 47%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 80Total Downloads
- Downloads (Last 12 months)43
- Downloads (Last 6 weeks)2
Reflects downloads up to 21 Nov 2024
Other Metrics
Citations
Cited By
View allView Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format