A Review on Underwater Wireless Sensor Networks

Underwater Wireless Sensor Networks (UWSNs) support various applications like pollution monitor, tsunami warning, offshore exploration, planned surveillance, etc. Distinctive top features of UWSNs like low available bandwidth, large propagation delay, highly dynamic network topology, and high error probability pose many challenges for designing efficient and reliable communication protocols. This paper has reviewed extension of IAMCTD (Improved Adaptive Mobility of Courier nodes in Threshold-optimized DBR protocol for UWSNs) that's targeted on enhancing network reliability and throughput for critical-range based applications. Extension of IAMCTD scheme avoids control overhead that has been contained in IAMCTD for implementing changes thorough threshold. The movement pattern of courier nodes alongside reducing communication burden on nodes increases throughput as well.

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[2]  Rongxin Jiang,et al.  A distributed localization scheme based on mobility prediction for underwater wireless sensor networks , 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).

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[10]  J. Iqbal,et al.  Gradient Estimation Vector Modeling of signal attenuation in Underwater Wireless Sensor Networks , 2012, Proceedings of 2012 9th International Bhurban Conference on Applied Sciences & Technology (IBCAST).

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[14]  Zhiwen Zhu,et al.  A multi-hop localization algorithm in underwater wireless sensor networks , 2014, 2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP).

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[16]  Basem Shihada,et al.  Optimal Node Placement in Underwater Wireless Sensor Networks , 2013, 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA).

[17]  S. Ahmad Salehi,et al.  DS-VBF: Dual sink vector-based routing protocol for underwater wireless sensor network , 2014, 2014 IEEE 5th Control and System Graduate Research Colloquium.

[18]  Wei Wang,et al.  Underwater Wireless Sensor Networks , 2014, Int. J. Distributed Sens. Networks.

[19]  Paolo Braca,et al.  Bayesian Tracking in Underwater Wireless Sensor Networks With Port-Starboard Ambiguity , 2014, IEEE Transactions on Signal Processing.