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Sensors 2017, 17(2), 0283; doi:10.3390/s17020283

SOUNET: Self-Organized Underwater Wireless Sensor Network

School of Electronics Engineering, Kyungpook National University, Daegu 41566, Korea
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Received: 21 November 2016 / Accepted: 24 January 2017 / Published: 2 February 2017
(This article belongs to the Section Sensor Networks)

Abstract

In this paper, we propose an underwater wireless sensor network (UWSN) named SOUNET where sensor nodes form and maintain a tree-topological network for data gathering in a self-organized manner. After network topology discovery via packet flooding, the sensor nodes consistently update their parent node to ensure the best connectivity by referring to the timevarying neighbor tables. Such a persistent and self-adaptive method leads to high network connectivity without any centralized control, even when sensor nodes are added or unexpectedly lost. Furthermore, malfunctions that frequently happen in self-organized networks such as node isolation and closed loop are resolved in a simple way. Simulation results show that SOUNET outperforms other conventional schemes in terms of network connectivity, packet delivery ratio (PDR), and energy consumption throughout the network. In addition, we performed an experiment at the Gyeongcheon Lake in Korea using commercial underwater modems to verify that SOUNET works well in a real environment. View Full-Text
Keywords: underwater wireless sensor networks; self-organization; self-healing; network connectivity; packet delivery ratio; node isolation; closed loop; underwater experiment underwater wireless sensor networks; self-organization; self-healing; network connectivity; packet delivery ratio; node isolation; closed loop; underwater experiment
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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

Kim, H.-W.; Cho, H.-S. SOUNET: Self-Organized Underwater Wireless Sensor Network. Sensors 2017, 17, 0283.

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