DocumentCode :
3678250
Title :
Effect of signal length in cross-correlation based underwater network size estimation
Author :
M. A. Hossen;S. A. H. Chowdhury;M. S. Anower;S. Hossen;M. F. Pervej;M. M. Hasan
Author_Institution :
Department of Electronics &
fYear :
2015
fDate :
5/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
6
Abstract :
Signal length possesses a very important role in size estimation of underwater wireless sensor network (UWSN). As size estimation is very tough in UWSNs using conventional protocol techniques, a cross-correlation based technique is introduced to estimate the number of nodes. In UWSN, The greater the signal length, the more energy is required to perform the estimation. In this paper, we observe the effect of signal length (Ns) over the number of estimated nodes (N) in a spherical region of an underwater acoustic sensor network (UASN) using three sensors and investigate the error in node estimation for different Ns. As the theoretical required Ns is infinity (Ns = 106 samples is used in simulation), using minimum Ns how it is possible to go through a successful estimation process i.e., accurate node estimation is being observed and discussed.
Keywords :
"Sensors","Artificial neural networks"
Publisher :
ieee
Conference_Titel :
Electrical Engineering and Information Communication Technology (ICEEICT), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICEEICT.2015.7307476
Filename :
7307476
Link To Document :
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