Oceanic forces and their impact on the performance of mobile underwater acoustic sensor networks

SUMMARY This paper focuses on the performance analysis of Underwater Wireless Acoustic Sensor Networks (UWASNs) with passively mobile sensor nodes moving because of the influence of major oceanic forces. In an UWASN, passive node mobility is inevitable. Therefore, the performance analysis of UWASNs renders meaningful insights with the inclusion of a mobility model, which represents realistic oceanic scenarios. In this regard, the existing works on performance analysis of UWASNs lack the consideration of major dominating forces, which offer impetus for a node's mobility. Additionally, the existing works are limited to only shallow depths and coastal areas. Therefore, in this paper, we have proposed a physical mobility model, named Oceanic Forces Mobility Model, by incorporating important realistic oceanic forces imparted on nodes. The proposed model considers the effects of node mobility in 3-D space of water. We also present an analysis on the impact of node mobility on the performance of UWASNs in terms of network dispersion and localization. Simulation results indicate performance degradation of UWASNs in the presence of oceanic forces—localization coverage decreases by 36.70%, localization error increases nearly by 21.14%, and average energy consumption increases by 3% approximately. Copyright © 2014 John Wiley & Sons, Ltd.

[1]  Zhong Zhou,et al.  Mobi-Sync: Efficient Time Synchronization for Mobile Underwater Sensor Networks , 2013, IEEE Trans. Parallel Distributed Syst..

[2]  Sudip Misra,et al.  Tic-Tac-Toe-Arch: a self-organising virtual architecture for Underwater Sensor Networks , 2013, IET Wirel. Sens. Syst..

[3]  Sudip Misra,et al.  Exploiting Partial-Packet Information for Reactive Jamming Detection: Studies in UWSN Environment , 2013, ICDCN.

[4]  W. H. Thorp Analytic Description of the Low‐Frequency Attenuation Coefficient , 1967 .

[5]  Dario Pompili,et al.  Three-dimensional and two-dimensional deployment analysis for underwater acoustic sensor networks , 2009, Ad Hoc Networks.

[6]  Winston K. G. Seah,et al.  A Survey of Techniques and Challenges in Underwater Localization , 2011 .

[7]  Jiejun Kong,et al.  The challenges of building mobile underwater wireless networks for aquatic applications , 2006, IEEE Network.

[8]  Gurcu Oz,et al.  Performance study of a wireless mobile ad hoc network with orientation‐dependent internode communication scheme , 2014, Int. J. Commun. Syst..

[9]  Mario Gerla,et al.  Performance evaluation of distributed localization techniques for mobile underwater acoustic sensor networks , 2011, Ad Hoc Networks.

[10]  Michele Zorzi,et al.  Modeling the underwater acoustic channel in ns2 , 2007, Valuetools 2007.

[11]  Sudip Misra,et al.  Game-Theoretic Topology Controlfor Opportunistic Localization in Sparse Underwater Sensor Networks , 2015, IEEE Transactions on Mobile Computing.

[12]  Milica Stojanovic,et al.  Underwater sensor networks: applications, advances and challenges , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[13]  Petros Nicopolitidis,et al.  Utilizing Locality of Demand for Lower Response Times in Underwater Data Broadcasting , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[14]  Athanasios V. Vasilakos,et al.  Jamming in underwater sensor networks: detection and mitigation , 2012, IET Commun..

[15]  Anchare V. Babu,et al.  Maximizing the data transmission rate of a cooperative relay system in an underwater acoustic channel , 2012, Int. J. Commun. Syst..

[16]  M. Stojanovic,et al.  Underwater acoustic networks , 2000, IEEE Journal of Oceanic Engineering.

[17]  H. T. Mouftah,et al.  A Survey of Architectures and Localization Techniques for Underwater Acoustic Sensor Networks , 2011, IEEE Communications Surveys & Tutorials.

[18]  Dan Wang,et al.  Double Mobility: Coverage of the Sea Surface with Mobile Sensor Networks , 2009, IEEE INFOCOM 2009.

[19]  Yi Chao,et al.  A Smart Sensor Web for Ocean Observation: Fixed and Mobile Platforms, Integrated Acoustics, Satellites and Predictive Modeling , 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[20]  Sudip Misra,et al.  Performance analysis of distributed underwater wireless acoustic sensor networks systems in the presence of internal solitons , 2016, Int. J. Commun. Syst..

[21]  Özgür B. Akan,et al.  Three-Dimensional Underwater Target Tracking With Acoustic Sensor Networks , 2011, IEEE Transactions on Vehicular Technology.

[22]  Dongkyun Kim,et al.  A reliable and energy‐efficient routing protocol for underwater wireless sensor networks , 2014, Int. J. Commun. Syst..

[23]  Mohammad S. Obaidat,et al.  UWSim: A Simulator for Underwater Sensor Networks , 2008, Simul..

[24]  Özgür B. Akan,et al.  A three dimensional localization algorithm for underwater acoustic sensor networks , 2009, IEEE Transactions on Wireless Communications.

[25]  Jim Kurose,et al.  A survey of practical issues in underwater networks , 2007 .

[26]  S. Oktug,et al.  A localization and routing framework for mobile underwater sensor networks , 2008, IEEE INFOCOM Workshops 2008.

[27]  Dario Pompili,et al.  Underwater acoustic sensor networks: research challenges , 2005, Ad Hoc Networks.

[28]  Antonello Provenzale,et al.  TRANSPORT BY COHERENT BAROTROPIC VORTICES , 1999 .

[29]  Yueh-Min Huang,et al.  Performance analysis of S‐MAC protocol , 2013, Int. J. Commun. Syst..