DocumentCode :
2561145
Title :
Node pattern simulation of an undersea sensor network using RF electromagnetic communications
Author :
Wells, Ian ; Davies, Adam ; Che, Xianhui ; Kear, Paul ; Dickers, Gordon ; Gong, Xiaochun ; Rhodes, Mark
Author_Institution :
Fac. of Appl. Design & Eng., Swansea Metropolitan Univ., Swansea, UK
fYear :
2009
fDate :
12-14 Oct. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Underwater sensor networks have traditionally used acoustic or optical technologies to enable communication between the network nodes. Electromagnetic communications, although ubiquitous in most atmospheric communications systems, it has been largely dismissed for use in underwater environments because of the huge attenuation of the signal in water. Very low frequency (VLF) electromagnetic signals however do not suffer attenuation as much as higher frequencies. This paper describes the simulation of the optimal layout pattern for the nodes of a small scale wireless sensor network using VLF technology that is used to provide an underwater coastal monitoring service.
Keywords :
electromagnetism; radiocommunication; underwater acoustic communication; wireless sensor networks; RF electromagnetic communications; acoustic technology; atmospheric communications systems; node pattern simulation; optical technology; optimal layout pattern simulation; undersea sensor network; underwater coastal monitoring service; very low frequency electromagnetic signals; wireless sensor network; Acoustic sensors; Atmospheric modeling; Communications technology; Optical attenuators; Optical fiber networks; Optical sensors; Radio frequency; Underwater acoustics; Underwater communication; Wireless sensor networks; Underwater VLF Radio Communications; Underwater Wireless Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4244-3942-3
Electronic_ISBN :
978-1-4244-3941-6
Type :
conf
DOI :
10.1109/ICUMT.2009.5345555
Filename :
5345555
Link To Document :
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