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Sensors 2016, 16(3), 404; doi:10.3390/s16030404

Efficient Data Gathering in 3D Linear Underwater Wireless Sensor Networks Using Sink Mobility

1
COMSATS Institute of Information Technology, Islamabad 44000, Pakistan
2
College of Computer and Information Sciences, King Saud University, Riyadh 11451, Saudi Arabia
3
Lulea University of Technology, Lulea 97187, Sweden
*
Author to whom correspondence should be addressed.
Academic Editor: Neal N. Xiong
Received: 21 December 2015 / Revised: 10 March 2016 / Accepted: 14 March 2016 / Published: 19 March 2016
(This article belongs to the Special Issue Mobile Sensor Computing: Theory and Applications)

Abstract

Due to the unpleasant and unpredictable underwater environment, designing an energy-efficient routing protocol for underwater wireless sensor networks (UWSNs) demands more accuracy and extra computations. In the proposed scheme, we introduce a mobile sink (MS), i.e., an autonomous underwater vehicle (AUV), and also courier nodes (CNs), to minimize the energy consumption of nodes. MS and CNs stop at specific stops for data gathering; later on, CNs forward the received data to the MS for further transmission. By the mobility of CNs and MS, the overall energy consumption of nodes is minimized. We perform simulations to investigate the performance of the proposed scheme and compare it to preexisting techniques. Simulation results are compared in terms of network lifetime, throughput, path loss, transmission loss and packet drop ratio. The results show that the proposed technique performs better in terms of network lifetime, throughput, path loss and scalability. View Full-Text
Keywords: energy consumption; underwater wireless sensor network; direct transmission; mobile sink; courier nodes energy consumption; underwater wireless sensor network; direct transmission; mobile sink; courier nodes
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Akbar, M.; Javaid, N.; Khan, A.H.; Imran, M.; Shoaib, M.; Vasilakos, A. Efficient Data Gathering in 3D Linear Underwater Wireless Sensor Networks Using Sink Mobility. Sensors 2016, 16, 404.

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