TY - GEN
T1 - Simulation of underwater communications with a colored noise approximation and mobility
AU - Barbeau, M.
AU - Blouin, S.
AU - Cervera, G.
AU - Garcia-Alfaro, J.
AU - Hasannezhad, B.
AU - Kranakis, E.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/19
Y1 - 2015/6/19
N2 - We study the software simulation of physical properties of underwater communications, namely, underwater acoustic waves and (de)modulation of underwater acoustic digital data signals. We take into account the mobility of nodes, present in underwater sensor networks. We also consider the integration with protocol layers above the physical layer, i.e., the link and network layers. In this context, mobility is relevant because there are underwater vehicles and environmental conditions causing displacements of sensors. Attenuation is sensitive to transmitter-receiver separation distance. Because of mobility, this separation distances is variable. Our simulation approach is based on the work of Borrowski (2010). The physical layer is modeled as MATLAB functions. As a function of distance and frequency, the model takes into account attenuation, noise and their effects on a phase-shift keying signal. We use OMNeT++ to model link and network layer protocols. The MATLAB functions and OMNet++ models are linked together. While MATLAB does particularly well with signal processing, OMNeT++ addresses better the protocols placed in the link layer and above.
AB - We study the software simulation of physical properties of underwater communications, namely, underwater acoustic waves and (de)modulation of underwater acoustic digital data signals. We take into account the mobility of nodes, present in underwater sensor networks. We also consider the integration with protocol layers above the physical layer, i.e., the link and network layers. In this context, mobility is relevant because there are underwater vehicles and environmental conditions causing displacements of sensors. Attenuation is sensitive to transmitter-receiver separation distance. Because of mobility, this separation distances is variable. Our simulation approach is based on the work of Borrowski (2010). The physical layer is modeled as MATLAB functions. As a function of distance and frequency, the model takes into account attenuation, noise and their effects on a phase-shift keying signal. We use OMNeT++ to model link and network layer protocols. The MATLAB functions and OMNet++ models are linked together. While MATLAB does particularly well with signal processing, OMNeT++ addresses better the protocols placed in the link layer and above.
KW - Underwater sensor network
KW - acoustic waves
KW - simulation
KW - underwater communications
U2 - 10.1109/CCECE.2015.7129508
DO - 10.1109/CCECE.2015.7129508
M3 - Conference contribution
AN - SCOPUS:84938310761
T3 - Canadian Conference on Electrical and Computer Engineering
SP - 1532
EP - 1537
BT - 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering, CCECE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 28th IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2015
Y2 - 3 May 2015 through 6 May 2015
ER -