Skip to main content
Log in

Solutions for Underwater Communication and Positioning Network Development

  • Published:
Gyroscopy and Navigation Aims and scope Submit manuscript

Abstract

The paper addresses the main problems related to the development of underwater communication networks which differ from the traditional underwater acoustic communication in simultaneous data exchange of a large number of spatially separated nodes, as well as their high-precision positioning. While the problems of traditional acoustic communication are generally associated with the complexity and variability of hydro-acoustic medium for signal propagation, the underwater communication network faces a number of additional significant problems such as collisions in the network, occurring during simultaneous transmission of messages from several nodes and requiring special managerial and engineering measures for their resolution; another problem is complex configuration of the alternating zones of mutual connectivity (“audibility”) of nodes, caused by specific features of underwater acoustic environment and requiring the nontrivial routing of data flows from source to recipient. It is demonstrated in the paper that these problems can be solved by developing the techniques of communication signals generation and transmission, which then form the protocols of nodes’ interaction during exchange of messages, and are implemented in digital acoustic modems that have ultimately developed into complex electronic devices.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.

Similar content being viewed by others

REFERENCES

  1. Ageev, M.D., Kiselev, L.V., Matvienko, Yu.V. et al., Avtonomnye podvodnye roboty. Sistemy i tehnologii (Underwater Autonomous Robots. Systems and Technologies), Moscow: Nauka, 2005.

  2. Inzartsev, A.V., Kamornyi, A.V., L’vov, O.Yu., Matvienko, Yu.V., and Rylov, N.I., Using autonomous unmanned vehicles for Scientific Research in the Arctic, Podvodnye issledovaniya i robototehnika, 2007, no. 2, pp. 5–14.

  3. Gizitdinova, M.R. and Kuz’mitskii, M.A., Mobile underwater robots in modern oceanography and hydrophysics, Fundamental’naya i prikladnaya gidrofizika, 2010, vol. 3, no. 1, pp. 4–13.

  4. Bozhenov, Yu.A., Use of the autonomous underwater vehicles for the Arctic and Antarctic regions exploration, Fundamental’naya i prikladnaya gidrofizika, 2011, vol. 4, no. 1, pp. 4–68.

  5. Millar G. and Mackay L., Maneuvering under the ice, Sea Technology, 2015, vol. 56, no. 4, pp. 35–38.

    Google Scholar 

  6. Illarionov, G.Yu., Sidenko, K.S., and Bocharov, L.Yu., Ugroza iz glubiny: XXI vek (Threat from the Depth: 21st Century), Khabarovsk: KGUP Khabarovskaya kraevaya tipografiya, 2011.

  7. Belousov, I., Modern and future unmanned autonomous vehicles in the US navy, Zarubezhnoe voennoe obozrenie, 2013, no. 5, pp. 79–88.

  8. Al-Khatib H., Antonelli G., Caffaz A., Caiti A., Casalino G., de Jong I.B., Duarte H., Indiveri G., Jesus S., and Kebkal K., The widely scalable mobile underwater sonar technology (WiMUST) project: an overview, Genova: OCEANS 2015. IEEE, 2015.

  9. Kovalenko, V.V., Korchak, V.Yu., and Chulkov, V.L., Concepts and key technologies of underwater surveillance systems in network-centric warfare, Fundamental’naya i prikladnaya gidrofizika, 2011, vol. 4, no. 3, pp. 49–64.

  10. Peshekhonov, V.G., Braga, Yu.A., and Mashoshin, A.I., Network-centric approach to solving the underwater surveillance problem in the Arctic, Izvestiya UFU. Tehnicheskie nauki, 2012, no. 3, pp. 219–227.

  11. Mashoshin, A.I., and Skobelev, P.O., Application of multiagent technology for managing a group of unmanned underwater vehicles, Izvestiya UFU. Tehnicheskie nauki, 2016, no. 1, pp. 45–59.

  12. Kebkal, K.G. and Mashoshin, A.I., AUV acoustic positioning methods, Gyroscopy and navigation, 2017, vol. 8, no. 1, pp. 80–89.

    Article  Google Scholar 

  13. Kilfoyle, D.B. and Baggeroer, A.B., The state of the art in underwater acoustic telemetry, IEEE Journal of Oceanic Engineering, 2000, vol. 25, no. 1, pp. 4–27.

    Article  Google Scholar 

  14. Domingo, M.C., An overview of the internet of underwater things, Journal of Network and Computer Applications, 2012, vol. 35, no. 6, pp. 1879–1890.

    Article  Google Scholar 

  15. Song, H.C., Kuperman, W.A., and Hodgkiss, W.S., Basin-scale time reversal communications, Journal of the Acoustical Society of America, 2009, vol. 125, pp. 212–217.

    Article  Google Scholar 

  16. Homer, J., Mareels, I., Bitmead, R.R., Wahlberg, B., and Gustafsson, F., LMS estimation via structural detection, IEEE Transactions of Signal Processing,1998, vol. 46, pp. 2651–2663.

    Article  Google Scholar 

  17. Lopez, M.J. and Singer, A.C., A DFE coefficient placement algorithm for sparse reverberant channels, IEEE Transactions on Communications, 2001, vol. 49, no. 8, pp. 1334–1338.

    Article  Google Scholar 

  18. Roy, S., Duman, T.M. and McDonald, V., Error rate improvement in underwater MIMO communications using sparse partial response equalization, Proc. IEEE Oceans Conference, 2006.

  19. Stojanovic, M., Freitag, L. and Johnson, M., Channel-estimation-based adaptive equalization of underwater acoustic signals, Proc. IEEE Oceans Conference, 1999.

  20. Weichang, L. and Preisig, J.C., Estimation of rapidly time-varying sparse channels, Proc. IEEE Oceans Conference, 2007, vol. 32, no. 4, pp. 927–939.

  21. Sozer, E.M., Proakis, J.G. and Blackmon, F., Iterative equalization and decoding techniques for shallow water acoustic channels, Proc. IEEE Oceans Conference, 2001, vol. 4, pp. 2191–2208.

  22. Capellano, V., Performance improvements of a 50 km acoustic transmission through adaptive equalization and spatial diversity, Proc. IEEE Oceans Conference,1997, vol. 1, pp. 569–573.

  23. Roy, S., Space-time coding for frequency selective fading channels with underwater acoustic communication applications, PhD dissertation, Dept. Electrical Engineering, Arizona State University, 2006.

  24. Douillard, C., Jezequell, M., Berrou, C., Pricart, A., Didier, P. and Glavieux, A., Iterative correction of intersymbol interference: turbo-equalization, European Transactions on Telecommunications, 1995, vol. 6, no. 5, pp. 507–511.

    Article  Google Scholar 

  25. Mani, S., Duman, T.M. and Hurski, P., Adaptive coding/modulation for shallow-water, Proc. 9th European Conference on underwater acoustics, 2008, vol. 2, pp. 471–476.

  26. Blackmon, F., Sozer, E. and Proakis, J., Iterative equalization, decoding, and soft diversity combining for underwater acoustic channels, Proc. IEEE Oceans Conference, 2002, vol. 4, pp. 2425–2428.

  27. Mani, S., Adaptive modulation techniques for underwater acoustic channels, M.S.Thesis, Dept. Electrical Engineering, Arizona State University, 2008.

  28. Zhang, Z., Duman, T.M. and Kurtas, E.M., Achievable information rates and coding for MIMO systems over ISI channels and frequency-selective fading channels, IEEE Transactions on Communications, 2004, vol. 52, no. 10, pp. 1698–1710.

    Article  Google Scholar 

  29. Shental, O., Shental, N. and Shamai, S., On the achievable information rates of two-dimensional channels with memory, Proc. IEEE International Symposium on Information Theory (ISIT), 2005.

  30. Rice, J. and McDonald, V., Adaptive modulation for undersea acoustic telemetry, Sea Technology, 1999, vol. 40, no. 5, pp. 29–36.

    Google Scholar 

  31. Benson, A., Proakis, J. and Stojanovic, M., Towards robust adaptive acoustic communications, Proc. IEEE Oceans Conference, 2000, vol. 2, pp. 1243–1249.

  32. Kilfoyle, D.B., Preisig, J.C. and Baggeroer, A.B., Spatial modulation experiments in the underwater acoustic channel, IEEE Journal of Oceanic Engineering, 2005, vol. 30, no. 2, pp. 406–415.

    Article  Google Scholar 

  33. Song, H.C., Hodgkiss, W.S., Kuperman, W.A., Stevenson, M. and Akal, T., Improvement of time reversal communications using adaptive channel equalizers, IEEE Journal of Oceanic Engineering, 2006, vol. 2, no. 2, pp. 487–496.

    Article  Google Scholar 

  34. Song, H.C., Hodgkiss, W.S. and Kuperman, W.A., MIMO time reversal communications, Proc. WUWNet’07, 2007, pp. 5–10.

  35. Roy, S., Duman, T.M., McDonald, V. and Proakis, J.G., High rate communication for underwater acoustic channels using multiple transmitters and space-time coding: Receiver structures and experimental results, IEEE Journal of Oceanic Engineering, 2007, vol. 32, no. 3, pp. 663–688.

    Article  Google Scholar 

  36. Roy, S., Duman, T.M., Ghazikhanian, L., McDonald, V., Proakis, J. and Zeidler, J., Enhanced underwater acoustic communication performance using space-time coding and processing, Proc. IEEE Oceans Conference, 2004, vol. 1, pp. 26–33.

  37. Nordenvaad, M.L. and Oberg, T., Iterative reception for acoustic underwater MIMO communications, Proc. IEEE Oceans Conference, 2006.

  38. Edelmann, G., Akal, T., Hodgkiss, W.S., Kim, S., Kuperman, W.A. and Song, H., An initial demonstration of underwater acoustic communication using time reversal mirror, IEEE Journal of Oceanic Engineering, 2002, vol. 27, pp. 602–609.

    Article  Google Scholar 

  39. Silva, A., Jesus, S., Gomes, J. and Barroso, V., Underwater acoustic communications using a virtual electronic time-reversal mirror approach, Proc. 5th European Conference on Underwater Acoustics, 2000, pp. 531–536.

  40. Rouseff, D., Jackson, D., Fox, W., Jones, C., Ritcey, J. and Dowling, D., Underwater acoustic communications by passive-phase conjugation: Theory and experimental results, IEEE Journal of Oceanic Engineering, 2001, vol. 26, pp. 821–831.

    Article  Google Scholar 

  41. Derode, A. and Roux, P., Robust acoustic time reversal with high-order multiple scattering, Physical Review Letters, 1995, vol. 75, no. 23, p. 4206.

    Article  Google Scholar 

  42. Heidemann, J., Stojanovic, M. and Zorzi, M., Underwater sensor networks: Applications, advances, and challenges, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2012, vol. 370, no. 1958, pp. 158–175.

  43. Akyildiz, I.F., Pompili, D. and Melodia, T., Underwater acoustic sensor networks: research challenges, Ad Hoc Networks, 2005, vol. 3, no. 3, pp. 257–279.

    Article  Google Scholar 

  44. Lmai, S., Chitre, M., Laot, C. and Houcke, S., Throughput-efficient super-TDMA MAC transmission schedules in ad hoc linear underwater acoustic networks, IEEE Journal of Oceanic Engineering, 2017, vol. 42, pp. 156–174.

    Google Scholar 

  45. Lmai, S., Chitre, M., Laot, C. and Houcke, S., Throughput-maximizing transmission schedules for underwater acoustic multihop grid networks, IEEE Journal of Oceanic Engineering, 2015, vol. 40, pp. 853–863.

    Article  Google Scholar 

  46. Diamant, R. and Lampe, L., Spatial reuse time-division multiple access for broadcast ad hoc underwater acoustic communication networks, IEEE Journal of Oceanic Engineering, 2011, vol. 36, no. 2, pp. 172–185.

    Article  Google Scholar 

  47. Kredo, K., Djukic, P. and Mohapatra, P., STUMP: Exploiting position diversity in the staggered TDMA underwater MAC protocol, Proc. of IEEE INFOCOM, 2009.

  48. Chirdchoo, N., Soh, W.S. and Chua, K.C., MU-Sync: A time synchronization protocol for underwater mobile networks, Proc. of the ACM International Workshop on Underwater Networks, 2008.

  49. Knappe, S., Shah, V., Schwindt, P.D., Hollberg, L., Kitching, J., Liew, L. and Moreland, J., A microfabricated atomic clock, Applied Physics Letters, 2004, vol. 85, no. 9, pp. 1460–1462.

    Article  Google Scholar 

  50. Gardner, T. and Collins, J.A., Advancements in high-performance timing for long term underwater experiments: A comparison of chip scale atomic clocks to traditional microprocessor-compensated crystal oscillators, Proc. IEEE Oceans Conference, 2011.

  51. Kebkal, K.G., Kebkal, O.G., Glushko, E., Kebkal, V.K., Sebastiao, L., Pascoal, A., Gomes, J., Ribeiro, J., Silva, H., Ribeiro, M. and Indivery, G., Underwater acoustic modems with integrated atomic clocks for one-way travel-time underwater vehicle positioning, Proc. Underwater Acoustics Conference and Exhibition (UACE), 2017.

  52. Yackoski, J. and Shen, C., UW-FLASHR: Achieving high channel utilization in a time-based acoustic MAC protocol, Proc. 3rd ACM International Workshop on Underwater Networks (WUWNet), 2008.

  53. Morozs, N., Mitchell, P.D. and Zakharov, Y., TDA-MAC: TDMA without clock synchronization in undewater acoustic networks, IEEE Access, 2018, vol. 6, pp. 1091–1108.

    Article  Google Scholar 

  54. Morozs, N., Mitchell, P.D., Zakharov, Y., Mourya, R., Petillot, Y.R., Gibney, T., Dragone, M., Sherlock, B., Neasham, J.A., Tsimenidis, C.C., Sayed, M.E., McConnell, A.C., Aracri, S. and Stokes, A.A., Robust TDA-MAC for practical underwater sensor network deployment: Lessons from USMART sea trials, Proc. 13 th ACM International Conference on Underwater Networks and Systems (WUWNet-2018), 2018.

  55. Morozs, N., Mitchell, P.D. and Zakharov, Y., Unsynchronized dual-hop scheduling for practical data gathering in underwater sensor networks, Proc. IEEE International Conference on Underwater Communications and Networking (UComms 2018). 2018.

  56. Cho, A.-R., Yun, C., Lim, Y.-K. and Choi, Y., Asymmetric propagation delay-aware TDMA MAC protocol for mobile underwater acoustic sensor networks, Applied Sciences, 2018, vol. 8, p. 962.

    Article  Google Scholar 

  57. Bianchi, G., Performance analysis of the IEEE 802.11 distributed coordination function, IEEE Journal on Selected Areas in Communications, 2000, vol. 18, no. 3, pp. 535–547.

    Article  Google Scholar 

  58. Nasipuri, A., Zhuang, J. and Das, S.R., A multichannel CSMA MAC protocol for multihop wireless networks, Proc. IEEE Wireless Communications and Networking Conference (WCNC-1999), 1999, vol. 3, pp. 1402–1406.

  59. Guerra, F., Casari, P. and Zorzi, M., World ocean simulation system (WOSS): A simulation tool for underwater networks with realistic propagation modeling, Proc. 4th ACM International Workshop on Underwater Networks (WUWNet’09), 2009.

  60. Roberts, L.G., ALOHA packet system with and without slots and capture, Computer Communications Review, 1975, vol. 5, no 2, pp. 28–42.

    Article  Google Scholar 

  61. Peleato, B. and Stojanovic, M., Distance aware collision avoidance protocol for ad-hoc underwater acoustic sensor networks, IEEE Communication Letters, 2007, pp. 1025–1027.

  62. Guerra, F., Casari, P. and Zorzi, M., MAC protocols for monitoring and event detection in underwater networks employing a FH-BFSK physical layer, Acoustic Sensor Networks. IEEE Communication Letters, 2007, vol. 11, no. 12, pp. 1025–1027.

    Article  Google Scholar 

  63. Syed, A.A., Ye, W. and Heidemann, J., Comparison and evaluation of the T-Lohi MAC for underwater acoustic sensor networks, IEEE Journal on Selected Areas in Communications,2008, vol. 26, no. 9, pp. 1731–1743.

    Article  Google Scholar 

  64. Chirdchoo, N., Soh, W.-S. and Chua, K.C., Aloha-based MAC protocols with collision avoidance for underwater acoustic networks, Proc. 26th IEEE International Conference on Computer Communications. Joint Conference of the IEEE Computer and Communications Societies, 2007.

  65. Xie, P. et al., R-MAC: An energy-efficient MAC protocol for underwater sensor networks, Proc. International Conference on Wireless Algorithms, Systems and Applications, 2007, pp. 187–198.

  66. Molins, M. and Stojanovic, M., Slotted FAMA: a MAC protocol for underwater acoustic networks, Proc. IEEE Oceans Conference, 2006.

  67. Fullmer, C.L. and Garcia-Luna-Aceves, J.J., Floor Acquisition Multiple Access (FAMA) for packet-radio networks, Proc. Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication (SIGCOMM), 1995.

  68. Garcia, M., Sendra, S., Atenas, M. and Lloret, J., Underwater Wireless Ad-hoc Networks: a Survey. Mobile Ad-hoc Networks: Current Status and Future Trends. Chapter: Underwater wireless ad-hoc networks: A survey. CRC Press, Taylor and Francis, 2011.

    Google Scholar 

  69. Rahman, A., Olesinski, W. and Gburzynski, P., Controlled flooding in wireless ad-hoc networks, Proc. IEEE International Workshop on Wireless Ad-Hoc Networks, 2004, pp. 73–78.

  70. Otnes, R., Asterjadhi, A., Casari, P., Goetz, M., Husøy, T., Nissen, I., Rimstad, K., van Walree, P. and Zorzi, M., Underwater Acoustic Networking Techniques, Springer Briefs in Electrical and Computer Engineering, 2012. https://doi.org/10.1007/978-3-642-25224-2_1

    Book  Google Scholar 

  71. Cavin, D. and Schiper, A., Probabilistic broadcast for flooding in wireless mobile ad hoc networks, Proc. Conference on Wireless Communications and Networking, 2003, vol. 2.

  72. Fink, M., Time-reversed acoustics, Physics Today, 1997, vol. 50, no. 3, pp. 34–40.

    Article  Google Scholar 

  73. Liang, W., Yu, H., Liu, L., Li, B. and Che, C., Information-carrying based routing protocol for underwater acoustic sensor network, Proc. International Conference on Mechatronics and Automation (ICMA), 2007, pp. 729–734.

  74. Wahid, A. and Dongkyun, K., Analyzing routing protocols for underwater wireless sensor networks, International Journal of Communication Networks and Information Security, 2010, vol. 2, no. 3, pp. 253–261.

    Google Scholar 

  75. Jornet, J.M., Stojanovic, M. and Zorzi, M., Focused beam routing protocol for underwater acoustic networks, Proc. 3rd ACM International Workshop on Underwater Networks (WUWNet’08), 2008, pp. 75–82.

  76. Ayaz, M. and Abdullah, A., Hop-by-hop dynamic addressing based (H2-DAB) routing protocol for underwater wireless sensor networks, Proc. International Conference on Information and Multimedia Technology (ICIMT'09), 2009, pp. 436–441.

  77. Basagni, S., Petrioli, C., Petroccia, R. and Spaccini, D., Channel-aware routing for underwater wireless networks, Proc. IEEE Oceans Conference, 2012, pp. 1–9.

  78. Rahman, R.H., Benson, C., Jiang, F. and Frater, M., LOARP: A low overhead routing protocol for underwater acoustic sensor networks, Journal of Networks, 2013, vol. 8, no. 2, pp. 317–330.

    Article  Google Scholar 

  79. Zhou, Z., Peng, Z., Cui, J.H. and Shi, Z., Efficient multipath communication for time-critical applications in underwater acoustic sensor networks, IEEE/ACM Transactions on Networking, 2011, vol. 19, no. 1, pp. 28–41.

    Article  Google Scholar 

  80. Toso, G., Masiero, R., Casari, P., Kebkal, O., Komar, M. and Zorzi, M., Field experiments for Dynamic Source Routing: S2C EvoLogics modems run the SUN protocol using the DESERT Underwater libraries, Proc. IEEE Oceans Conference, 2012, pp. 1–10.

  81. Domingo, M.C. and Prior, R., A distributed clustering scheme for underwater wireless sensor networks, IEEE 18 th International Symposium on Personal, Indoor and Mobile Radio Communications, 2007, pp. 1–5.

  82. Vieira, L.F.M., Lee, U. and Gerla, M., Phero-Trail: a bio-inspired location service for mobile underwater sensor networks, IEEE Journal on Selected Areas in Communications, 2010, vol. 28, no 4, pp. 553–563.

    Article  Google Scholar 

  83. Baggeroer, A., Koelsch, D.E., Heydt, K. and Catipovic, J., DATS – a Digital Acoustic Telemetry System for underwater communications, Proc. IEEE Oceans Conference, 1981, pp. 55–60.

  84. Coates, R.F.W., A deep-ocean penetrator telemetry system, IEEE Journal of Oceanic Engineering, 1988, vol. 13, pp. 55–63.

    Article  Google Scholar 

  85. Catipovic, J., Baggeroer, A.B., von der Heydt, K. and Koelsch, D., Design and performance analysis of a digital acoustic telemetry system for the short range underwater channel, IEEE Journal of Oceanic Engineering, 1984, vol. 9, pp. 242– 252.

    Article  Google Scholar 

  86. Freitag, L.E., Merriam, J.S., Frye, D.E. and Catipovic, J.A., A long-term deepwater acoustic telemetry experiment, Proc. IEEE Oceans Conference, 1991, pp. 254–260.

  87. Mackelburg, G.R., Acoustic data links for UUVs, Proc. IEEE Oceans Conference, 1991, pp. 1400–1406.

  88. Scussel, K.F., Rice, J.A. and Merriam, S., A new MFSK acoustic modem for operation in adverse underwater channels, Proc. IEEE Oceans Conference, 1997.

  89. Howe, G.S., Hinton, O.R., Adams, A.E. and Holt, A.G.J., Acoustic burst transmission of high rate data through shallow underwater channels, Electronics Letters, 1992, vol. 28, no.5, pp. 449–451.

    Article  Google Scholar 

  90. Suzuki, M., Sasaki, T. and Tsuchiya, T., Digital acoustic image transmission system for deep-sea research submersible, Proc. IEEE Oceans Conference, 1992, pp. 567–570.

  91. Jones, J.C., Di Meglio, A., Wang, L.S., Coates, R.F.W, Tedeschi, A. and Stoner, R.J., The design and testing of a DSP, half-duplex, vertical DPSK communication link, Proc. IEEE Oceans Conference, 1997, vol. 1, pp. 259–266.

  92. Colavolpe, G. and Raheli, R., Noncoherent sequence detection, IEEE Transactions on Communication Systems, 1999, vol. 47, no. 9, pp. 1376–1385.

    Article  Google Scholar 

  93. Schober, R., Gerstacker, W.H. and Huber, J.B., Adaptive linear equalization combined with noncoherent detection for MDPSK signals, IEEE Transactions on Communication Systems, 2000, vol. 48, no. 5, pp. 733–738.

    Article  Google Scholar 

  94. Stojanovic, M., An adaptive algorithm for differentially coherent detection in the presence of intersymbol inteference, IEEE Journal on Selected Areas in Communications, 2005, vol. 23, no. 9, pp. 1884–1890.

    Article  Google Scholar 

  95. EviNS Framework, Internet resource: https://github.com/okebkal/evins.git.

  96. Kebkal, O.G., Kebkal, V.K. and Kebkal, K.G., EviNS: Framework for development of underwater acoustic sensor networks and positioning systems, Proc. IEEE Oceans Conference, 2015.

  97. Kebkal, O.G., Kebkal, K.G. and Komar, M., Development of upper-layer protocols with S2CR acoustic modems emulator, Proc. Conference on Underwater Communications: Channel Modelling and Validation (UCOMMS), 2012.

  98. DTN2 manual page, 2015 (http://dtn.sourceforge.net/DTN2/doc/manual).

  99. Delay-Tolerant Networking Research Group (DTNRG) (https://sites.google.com/site/dtnresgroup/home).

  100. Kebkal K.G. and Bannasch, R., Sweep-spread carrier for underwater communication over acoustic channels with strong multipath propagation, Journal of Acoustical Society of America, 2002, vol. 112, no. 5, part 1, pp. 2043–2053.

  101. Petrioli, C., Petroccia, R. and Potter, J., Performance evaluation of underwater MAC protocols: From simulation to at-sea testing, Proc. IEEE Oceans Conference, 2011.

  102. Masiero, R., Azad, S., Favaro, F., Petrani, M., Toso, G., Guerra, F., Casari, P. and Zorzi, M., DESERT Underwater: an NS-Miracle-based framework to DEsign, Simulate, Emulate and Realize Test-beds for underwater network protocols, Proc. IEEE Oceans Conference, 2012.

  103. Shannon, C.E., Communication in the presence of noise, Proc. IRE, 1949.

  104. Kebkal, K.G., Kebkal, O.G., Glushko, E., Kebkal, V.K., Sebastiao, L., Pascoal, A., Gomes, J., Ribeiro, J., Silva, H.M., Ribeiro, M. and Indivery, G., Underwater acoustic modems with integrated atomic clocks for one-way travel-time underwater vehicle positioning, Proc. Underwater Acoustics Conference and Exhibition (UACE), 2017.

  105. Góis, P., Sreekantaswamy, N., Basavaraju, N., Rufino, M., Sebastião, L., Botelho, J., Gomes, J. and Pascoal, A. Development and validation of Blue Ray, an optical modem for the MEDUSA class AUVs, Proc. 3rd Underwater Communications and Networking Conference (UCOMMS'16), 2016.

  106. Fair, N., Chave, A., Freitag, L., Preisig, J., White, S., Yoerger, D. and Sonnichsen, F., Optical modem technology for seafloor observatories, Proc. IEEE Oceans Conference, 2006, pp. 1–6.

  107. Sozer, E.M., Stojanovic, M. and Proakis, J.G., Underwater acoustic networks, IEEE Journal of Oceanic Engineering, 2000, vol. 25, no. 1, pp. 72–83.

    Article  Google Scholar 

  108. Pompili, D., Melodia, T. and Akyildiz, I.F., A CDMA-based medium access control for underwater acoustic sensor networks, IEEE Transactions on Wireless Communications, 2009, vol. 8, no. 4, pp. 1899–1909.

    Article  Google Scholar 

  109. Li, B. et al. MIMO-OFDM for high-rate underwater acoustic communications, IEEE Journal of Oceanic Engineering, 2009, vol. 34, no. 4, pp. 634–644.

    Article  Google Scholar 

  110. Kebkal, K., Mashoshin, A., Yakovlev, S., Kebkal, O. and Kebkal, V., Phase estimation error of a PSK underwater acoustic signal in presence of multipath and volume scattering, Proc. 4th Underwater Communications Networking Conference (UComms’18), 2018.

Download references

FUNDING

This work was partly funded by the Russian Foundation for Basic Research (projects no. 15-08-02907-а and no. 19-08-00324-а).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to K. G. Kebkal, A. I. Mashoshin or N. V. Morozs.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kebkal, K.G., Mashoshin, A.I. & Morozs, N.V. Solutions for Underwater Communication and Positioning Network Development. Gyroscopy Navig. 10, 161–179 (2019). https://doi.org/10.1134/S2075108719030040

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S2075108719030040

Keywords:

Navigation