DocumentCode :
2411105
Title :
Energy-Efficient Routing Protocol in Underwater Acoustic Sensor Networks
Author :
Nam, Heungwoo ; An, Sunshin
Author_Institution :
Dept. of Electron. Eng., Korea Univ., Seoul
Volume :
2
fYear :
2008
fDate :
17-20 Dec. 2008
Firstpage :
663
Lastpage :
669
Abstract :
As the importance of applications, such as ocean sampling, environmental monitoring, disaster prevention, and distribution tactical surveillance, has recently grown, the need for underwater communication has become more pronounced. In order to perform underwater communication effectively for these applications, there are some major impediments which must be overcome in routing protocols, viz. the: 1) underwater channel characteristics including the usage of acoustic waves and long propagation times; 2) severe power limitations imposed by the reliance on attery power. To overcome these obstacles, we propose an energy-efficient, delay-decreasing routing protocol that uses energy-aware data aggregation. This mechanism reconfigures the aggregation tree via a dynamic pruning and grafting function to operate a temporal path from the uw-sources to the uw-sink. The proposed protocol is shown to achieve performance improvements: the energy saving is achieved by minimizing the number of data transmissions, the decrease in the delay is attained through the automatic movement of the aggregation point, and the lifetime extension of underwater sensor networks is also accomplished. In the simulation experiments, we evaluate these performance improvements.
Keywords :
routing protocols; underwater acoustic communication; wireless sensor networks; acoustic waves; aggregation point; disaster prevention; distribution tactical surveillance; energy-aware data aggregation; environmental monitoring; lifetime extension; ocean sampling; routing protocols; underwater acoustic sensor networks; Acoustic sensors; Energy efficiency; Impedance; Monitoring; Oceans; Routing protocols; Sampling methods; Surveillance; Underwater acoustics; Underwater communication; Data aggregation; Underwater acoustic sensor networks; Underwater communications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded and Ubiquitous Computing, 2008. EUC '08. IEEE/IFIP International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3492-3
Type :
conf
DOI :
10.1109/EUC.2008.14
Filename :
4755301
Link To Document :
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