3D Localization and Visualization of Sensor Nodes and Data Sensing in Underwater Wireless Sensor Networks
N. Yashwanth1, B. R. Sujatha2

1Mr. N. Yashwanth*, PhD Research Scholar, Department of E & C Engineering, Malnad College of Engineering, Hassan, Karnataka, India.
2Dr. B. R. Sujatha, Professor and Head, Department of E & C Engineering, Malnad College of Engineering, Hassan, Karnataka, India. 

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 214-219 | Volume-8 Issue-12, October 2019. | Retrieval Number: L35781081219/2019©BEIESP | DOI: 10.35940/ijitee.L3578.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Underwater sensor networks (USNs) have many challenges in terms of determining network information. One of the challenges is determining 3D position coordinates of the sensor nodes in real-time in the aquatic environment. In this work, experiments have been conducted by deploying sensor nodes underwater at a shallow depth. As a case study, sensors have been used to sense water temperature and transmit to anchor (sink) node in a multi-hop fashion. Hardware experiments have been successfully conducted for localization and data transmission and results stored in industrial cloud platform smartcore for any further requirement. NS-3 with Aqua-3D – an Aqua-Sim network simulator has the required modules to visualize 3D Underwater Sensor Network. Simulation results show that 3D network visualization and node localization is obtained accurately. The Aqua-3D results are compared with the GPS coordinate values for localization accuracy.
Keywords: USNs, Localization, Anchor nodes, Non-Localized Node, Smartcore, VNC Viewer, Aqua-3D, Clusters, Network Simulator, Routing.
Scope of the Article: Clustering