Cooperative Network Node Positioning Techniques Using Underwater Radio Communications

We analyze the problem of localization algorithms for underwater sensor networks. We first characterize the underwater channel for radio communications and adjust a linear model with measurements of real transmissions. We propose an algorithm where the sensor nodes collaboratively estimate their unknown positions in the network. In this setting, we assume low connectivity of the nodes, low data rates, and nonzero probability of lost packets in the transmission. Finally, we consider the problem of a node estimating it’s position in underwater navigation. We also provide simulations illustrating the previous proposals.

[1]  Santiago Zazo,et al.  Simulation of Underwater RF Wireless Sensor Networks using Castalia , 2016, ArXiv.

[2]  Santiago Zazo,et al.  Investigation on radio wave propagation in shallow seawater: Simulations and measurements , 2016, 2016 IEEE Third Underwater Communications and Networking Conference (UComms).

[3]  J. J. Moré.  Generalizations of the trust region problem , 1993 .

[4]  Sarah J Dolman,et al.  Navy sonar and cetaceans: just how much does the gun need to smoke before we act? , 2008, Marine pollution bulletin.

[5]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[6]  Santiago Zazo,et al.  Experimental testbed for seawater channel characterization , 2016, 2016 IEEE Third Underwater Communications and Networking Conference (UComms).

[7]  Henk Wymeersch,et al.  Belief consensus algorithms for fast distributed target tracking in wireless sensor networks , 2012, Signal Process..

[8]  C. Pontbriand,et al.  An integrated, underwater optical /acoustic communications system , 2010, OCEANS'10 IEEE SYDNEY.

[9]  Shengli Zhou,et al.  Prospects and Problems of Wireless Communication for Underwater Sensor , 2008 .

[10]  Francisco Facchinei,et al.  Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems , 2013, IEEE Transactions on Signal Processing.

[11]  Alfred O. Hero,et al.  Distributed weighted-multidimensional scaling for node localization in sensor networks , 2006, TOSN.

[12]  J.A. Besada,et al.  A new positioning technique for RSS-Based localization based on a weighted least squares estimator , 2008, 2008 IEEE International Symposium on Wireless Communication Systems.

[13]  Zhou Shengli,et al.  Prospects and problems of wireless communication for underwater sensor networks , 2008 .

[14]  Hing-Cheung So,et al.  Best linear unbiased estimator algorithm for received signal strength based localization , 2011, 2011 19th European Signal Processing Conference.

[15]  Milica Stojanovic,et al.  Underwater sensor networks: applications, advances and challenges , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[16]  M. Arbelo,et al.  Gas-bubble lesions in stranded cetaceans , 2003, Nature.

[17]  Xianhui Che,et al.  Re-evaluation of RF electromagnetic communication in underwater sensor networks , 2010, IEEE Communications Magazine.

[18]  Jian Li,et al.  Exact and Approximate Solutions of Source Localization Problems , 2008, IEEE Transactions on Signal Processing.

[19]  Mark Rhodes,et al.  Underwater radio frequency communications , 2011, OCEANS 2011 IEEE - Spain.