Path Optimization based on Bit Error Rate (BER) Estimation in Underwater Sensor Networks
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2018-07-20 https://doi.org/10.14419/ijet.v7i3.12.17845
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Underwater sensor networks (UWSNs), Bit Error Rate (BER), relay node. -
Abstract
The underwater sensor networks (UWSNs) is an enabling technology and has become more and more trend for detecting vast area of oceans. Underwater sensor Networks consist of a variable number of sensors based on acoustic wireless communications. Communications are rapidly used for enabling advances in terms of ocean monitoring and observatory systems, deep sea surveillance and tracking of various entities of the aquatic environment and unearthing resources. But the drawback of the existing system is load and latency. Our proposed work mainly aimed to increase the throughput and optimize the path based upon relay node selection using BER estimation. And the performance of the system is analyzed using mathematical and simulation methods by comparing parameters such as Energy consumption , throughput, End to end delay.
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References
[1] Zhangbing Zhou, Wei Fang, JianweiNiu, Lei Shu, and Mithun Mukherjee, â€Energy-Efficient Event Determination in Underwater WSNs Leveraging Practical Data Predictionâ€,IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, VOL. 13, NO. 3, JUNE 2017
[2] N. Li, J.-F. Martinez, J. M. M. Chaus, and M. Eckert, “A survey on underwater acoustic sensor network routing protocols,†Sensors, vol. 16, no. 3, pp. 1–28, 2016.
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Yuri Labrador, MasoumehKarimi , Deng Pan, and Jerry MillerWORK, “Modulation and Error Correction in the Underwater Acoustic Communication Channelâ€, IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.7, July 2009
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How to Cite
Madhumita, S., Niranjana, G., & M. Shenbagaraman, V. (2018). Path Optimization based on Bit Error Rate (BER) Estimation in Underwater Sensor Networks. International Journal of Engineering & Technology, 7(3.12), 1237-1240. https://doi.org/10.14419/ijet.v7i3.12.17845Received date: 2018-08-18
Accepted date: 2018-08-18
Published date: 2018-07-20