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Underwater Electromagnetic Sensor Networks, Part II: Localization and Network Simulations.

Authors :
Zazo, Javier
Macua, Sergio Valcarcel
Zazo, Santiago
Pérez, Marina
Pérez-Álvarez, Iván
Jiménez, Eugenio
Cardona, Laura
Brito, Joaquín Hernández
Quevedo, Eduardo
Source :
Sensors (14248220); Dec2016, Vol. 16 Issue 12, p2176, 18p
Publication Year :
2016

Abstract

In the first part of the paper, we modeled and characterized the underwater radio channel in shallowwaters. In the second part, we analyze the application requirements for an underwaterwireless sensor network (U-WSN) operating in the same environment and perform detailed simulations. We consider two localization applications, namely self-localization and navigation aid, and propose algorithms that work well under the specific constraints associated with U-WSN, namely low connectivity, low data rates and high packet loss probability. We propose an algorithm where the sensor nodes collaboratively estimate their unknown positions in the network using a low number of anchor nodes and distance measurements from the underwater channel. Once the network has been self-located, we consider a node estimating its position for underwater navigation communicating with neighboring nodes. We also propose a communication system and simulate the whole electromagnetic U-WSN in the Castalia simulator to evaluate the network performance, including propagation impairments (e.g., noise, interference), radio parameters (e.g., modulation scheme, bandwidth, transmit power), hardware limitations (e.g., clock drift, transmission buffer) and complete MAC and routing protocols. We also explain the changes that have to be done to Castalia in order to perform the simulations. In addition, we propose a parametric model of the communication channel that matches well with the results from the first part of this paper. Finally, we provide simulation results for some illustrative scenarios. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14248220
Volume :
16
Issue :
12
Database :
Complementary Index
Journal :
Sensors (14248220)
Publication Type :
Academic Journal
Accession number :
120375980
Full Text :
https://doi.org/10.3390/s16122176