Routing optimization for underwater optical networks in swarm configuration

Underwater wireless networks have been deeply studied in the last few years. Particular attention has been recently devoted to swarm networks, which can operate and take decision in collaborative manner. In swarm networks, the limited distance between nodes can be exploited by implementing optical links when the characteristics of the communication channel make it possible. With respect to acoustic communications, that solution can lead to an increase in data rate, to the absence of signal latency and to significant energy saving. A performance analysis is presented for an underwater swarm network in case of optical link among mobile nodes, considering LED optical transmitter and typical parameters for the communication channel. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:34–38, 2014

[1]  Silvello Betti,et al.  Configurations Effects over Swarm Underwater Acoustic Network Performance , 2012 .

[2]  Dario Pompili,et al.  Challenges for efficient communication in underwater acoustic sensor networks , 2004, SIGBED.

[3]  Silvello Betti,et al.  Performance Analysis of Underwater Swarm Sensor Networks , 2011, 2011 International Conference on Broadband and Wireless Computing, Communication and Applications.

[4]  Milica Stojanovic,et al.  Shallow water acoustic networks , 2001, IEEE Commun. Mag..

[5]  I. Bankman,et al.  Underwater optical communications systems. Part 2: basic design considerations , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.

[6]  M. Stojanovic,et al.  Underwater acoustic networks , 2000, IEEE Journal of Oceanic Engineering.

[7]  Ayman A. Aly Robust Sliding Mode Fuzzy Control of a Car Suspension System , 2013 .

[8]  Pierre F. J. Lermusiaux,et al.  Forecasting and Reanalysis in the Monterey Bay/California Current Region for the Autonomous Ocean Sampling Network-II Experiment , 2009 .

[9]  J. H. Smart,et al.  Underwater optical communications systems part 1: variability of water optical parameters , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.

[10]  Milica Stojanovic,et al.  Design and Performance Analysis of Underwater Acoustic Networks , 2011, IEEE Journal on Selected Areas in Communications.

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

[12]  David Grace,et al.  Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation , 2012 .