Impact of Time-Varying Underwater Acoustic Channels on the Performance of Routing Protocols

The recent development of underwater acoustic modems has enabled multihop networking capabilities that can be used in important military and civilian applications. For this reason, routing protocols for underwater acoustic networks (UANs) have recently been proposed and evaluated. However, the interactions between channel dynamics and networking performance are not well understood. In this paper, we investigate and quantify the effect of the time-varying (TV) link quality on routing protocols in static UANs. In order to do so, we simulate the considered routing protocols in several network scenarios, obtained by changing the network density, the number of packet retransmissions, the packet length, the modulation type, and the power level with both TV and time-invariant (TI) channel conditions. Results confirm that, when evaluating the performance of routing protocols, it is important to understand the TV behavior of the channel quality over intervals of time sufficiently long to accommodate multihop communications. Finally, we also present experimental results, confirming the outcome of the simulations. The experiments have been conducted in collaboration with the NATO Centre for Maritime Research and Experimentation (CMRE) during the CommsNet12 sea trial.

[1]  Milica Stojanovic,et al.  On the relationship between capacity and distance in an underwater acoustic communication channel , 2006, Underwater Networks.

[2]  Michele Zorzi,et al.  A Study on the Wide-Sense Stationarity of the Underwater Acoustic Channel for Non-coherent Communication Systems , 2011, EW.

[3]  Michele Zorzi,et al.  On the predictability of underwater acoustic communications performance: the KAM11 data set as a case study , 2011, WUWNet.

[5]  M. Satyanarayanan,et al.  Mobile computing , 1993, Computer.

[6]  Milica Stojanovic,et al.  Focused beam routing protocol for underwater acoustic networks , 2008, Underwater Networks.

[7]  Michele Zorzi,et al.  On the impact of the environment on MAC and routing in shallow water scenarios , 2011, OCEANS 2011 IEEE - Spain.

[8]  R. Masiero,et al.  DESERT Underwater: An NS-Miracle-based framework to design, simulate, emulate and realize test-beds for underwater network protocols , 2012, 2012 Oceans - Yeosu.

[9]  David A. Maltz,et al.  Dynamic Source Routing in Ad Hoc Wireless Networks , 1994, Mobidata.

[10]  Michele Zorzi,et al.  Experimental study of the space-time properties of acoustic channels for underwater communications , 2010, OCEANS'10 IEEE SYDNEY.

[11]  Robert J. Urick,et al.  Principles of underwater sound , 1975 .

[12]  Michele Zorzi,et al.  World ocean simulation system (WOSS): a simulation tool for underwater networks with realistic propagation modeling , 2009, WUWNet.

[13]  Xiaoyan Hong,et al.  Scalable routing protocols for mobile ad hoc networks , 2002, IEEE Netw..

[14]  Aijun Song,et al.  Range and depth dependency of coherent underwater acoustic communications in KauaiEx , 2007, OCEANS 2007 - Europe.

[15]  Jun-Hong Cui,et al.  Improving the Robustness of Location-Based Routing for Underwater Sensor Networks , 2007, OCEANS 2007 - Europe.

[16]  Dongkyun Kim,et al.  DFR: an efficient directional flooding-based routing protocol in underwater sensor networks , 2012, Wirel. Commun. Mob. Comput..

[17]  Paul Hursky,et al.  Effects of ocean thermocline variability on noncoherent underwater acoustic communications. , 2007, The Journal of the Acoustical Society of America.

[18]  W. Hodgkiss,et al.  Impact of ocean variability on coherent underwater acoustic communications during the Kauai experiment (KauaiEx) , 2008 .

[19]  Aijun Song,et al.  Impact of source depth on coherent underwater acoustic communications. , 2010, The Journal of the Acoustical Society of America.

[20]  Tomasz Imielinski,et al.  Mobile Computing , 1996 .

[21]  Marco Miozzo,et al.  Miracle: The Multi-Interface Cross-Layer Extension of ns2 , 2010, EURASIP J. Wirel. Commun. Netw..

[22]  M. Badiey,et al.  Signal variability in shallow-water sound channels , 2000, IEEE Journal of Oceanic Engineering.

[23]  Peng Xie,et al.  VBF: Vector-Based Forwarding Protocol for Underwater Sensor Networks , 2006, Networking.

[24]  Jiejun Kong,et al.  Time-Critical Underwater Sensor Diffusion with No Proactive Exchanges and Negligible Reactive Floods , 2006, 11th IEEE Symposium on Computers and Communications (ISCC'06).

[25]  W. Hodgkiss,et al.  Effects of tidally driven temperature fluctuations on shallow-water acoustic communications at 18 kHz , 2000, IEEE Journal of Oceanic Engineering.

[26]  M. Zorzi,et al.  On the spatial correlation in shallow water and its impact on networking protocols , 2012, 2012 Oceans - Yeosu.