ABSTRACT
Advancement in acoustic modem technology has gradually brought underwater network into real life. Despite high cost of sea testing, there have been initial realization effort, such as Sea-Web, Aqua-Net, SUNSET, etc. As the main developers of Aqua-Net, through extensive testing experiences at different scales, we have recognized shortcomings of Aqua-Net and decided to design and implement the next generation of it. In this paper, we introduce SeaLinx as a new protocol stack architecture for underwater networking which (i) enables users to exploit their hardware more efficiently by allowing applications to run simultaneously on a modem, and (ii) provide better support for cross-layer communication.
- I. F. Akyildiz, D. Pompili, and T. Melodia, "Underwater acoustic sensor networks: Research challenges," Ad Hoc Networks, vol. 3, no. 3, pp. 257--279, May 2005.Google ScholarCross Ref
- C. Petrioli and R. Petroccia, "SUNSET: Simulation, Emulation and Real-life Testing of Underwater Wireless Sensor Networks," in Proc. IEEE UComms, 2012.Google Scholar
- R. Masiero, S. Azad, F. Favaro, M. Petrani, G. Toso, F. Guerra, P. Casari, and M. Zorzi, "DESERT Underwater: an NS-Miracle-based framework to DEsign, Simulate, Emulate and Realize Test-beds for Underwater Network Protocols," in Proc. MTS/IEEE OCEANS, 2012.Google Scholar
- Z. Peng, Z. Zhou, J.-H. Cui, and Z. Shi, "Aqua-Net: An Underwater Sensor Network Architecture: Design, Implementation, and Initial Testing," in Proc. IEEE/MTS OCEANS, 2009.Google Scholar
- J.-H. Cui, S. Zhou, Z. Shi, J. O'Donnell, Z. Peng, M. Gerla, B. Baschek, S. Roy, P. Arabshahi, and X. Zhang, "Ocean-TUNE: A Community Ocean Testbed for Underwater Wireless Networks," in Proc. ACM WUWNet, 2012. Google ScholarDigital Library
- J. Rice, B. Creber, C. Fletcher, P. Baxley, K. Rogers, K. McDonald, D. Rees, M. Wolf, S. Merriam, R. Mehio, J. Proakis, K. Scussel, D. Porta, J. Baker, J. Hardiman, and D. Green, "Evolution of Seaweb Underwater Acoustic Networking," in Proc. MTS/IEEE OCEANS, 2000.Google Scholar
- J. Rice, "Enabling undersea forcenet with seaweb acoustic networks," SSC San Diego, Tech. Rep. TD 3115, 2003.Google Scholar
- A. Caiti, V. Calabro, L. Fusini, A. Munafo, K. Grythe, J. M. Hovem, and A. L. T. A. Reinen, "Underwater Acoustic Network Performance: Results from the UAN11 Sea Trial," in Proc. MTS/IEEE OCEANS, October 2012.Google Scholar
- W. Liang, H. Yu, B. Li, H. Zhang, J. Bai, and J. Zheng, "Experiment Research on Underwater Acoustic Sensor Network," in Proc. IEEE WiCom, 2007.Google Scholar
- Z. Peng, S. Le, M. Zuba, H. Mo, Y. Zhu, L. Pu, J. Liu, and J.-H. Cui, "Aqua-TUNE: A Testbed for Underwater Networks," in Proc. MTS/IEEE Oceans, 2012.Google Scholar
- Z. Peng, S. Le, M. Zuba, H. Mo, H. Zhou, J.-H. Cui, S. Zhou, Z. Jiang, and J. Schindall, "Field Test Experience of an Underwater Wireless Network in the Atlantic Ocean," in Proc. MTS/IEEE OCEANS, 2013.Google Scholar
- M. Molins and M. Stojanovic, "Slotted FAMA: A MAC Protocol for Underwater Acoustic Networks," in Proc. IEEE OCEANS, 2006.Google ScholarCross Ref
- S. N. Le, Y. Zhu, Z. Peng, J.-H. Cui, and Z. Jiang, "PMAC: A Real-world Case Study of Underwater MAC," in Proc. ACM WUWNet, 2013. Google ScholarDigital Library
Index Terms
- SeaLinx: a multi-instance protocol stack architecture for underwater networking
Recommendations
Interannual variation of bigeye tuna Thunnus obesus hotspots in the eastern Indian Ocean off Java
Ocean remote sensing for sustainable resourcesRemotely derived environmental variables, including sea surface height anomaly SSHA, sea surface temperature SST, chlorophyll-a chl-a, eddy kinetic energy EKE, mixed layer data set of argo float MLD, Niño 3.4 index, and bigeye tuna catch data for the ...
Submerged breakwater hydrodynamic modeling for wave dissipation and coral restorer structure
ICBBE '16: Proceedings of the 3rd International Conference on Biomedical and Bioinformatics EngineeringWave transmission is the coastal character resulted from interaction of incident wave and submerged breakwater. Coastal hydrodynamic parameters mainly wave period, wave height and water depth while structural geometry factor such as structural height, ...
Effect of Concentration on Surface Acoustic Wave Velocity in A Rayleigh-type Biosensor
ICCIS 2017: Proceedings of the 2017 2nd International Conference on Communication and Information SystemsTo predict the propagation velocity of different concentrations of bovine serum albumin (BSA) in a Rayleigh-type biosensor, we derived a new calculation method for a Rayleigh surface acoustic wave (SAW) device. The method can calculate propagation ...
Comments