DocumentCode :
3323285
Title :
Utilizing Automatic Underwater Vehicles to Prolong the Lifetime of Underwater Sensor Networks
Author :
Zhan, Andong ; Chen, Guihai ; Wang, Wei
Author_Institution :
State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing, China
fYear :
2009
fDate :
3-6 Aug. 2009
Firstpage :
1
Lastpage :
6
Abstract :
Consisting of sensors and vehicles, Underwater Sensor Networks (UWSNs) are deployed to perform collaborative monitoring tasks over a given region, such as water quality monitoring, mining equipment monitoring, oceanographic data collection, pollution surveillance, etc. However, comparing with terrestrial wireless sensor networks, it is more crucial to prolong network lifetime for UWSNs since the varying characteristics of the underwater environment and superior difficulty of underwater device maintenance. In this paper we present a three- dimensional hemisphere model for UWSNs and prove that the improvement in network lifetime by utilizing one Automatic Underwater Vehicle (AUV) is upper bounded by a factor of eight and the AUV only needs to stay within a two hop radius of the sink. We further propose an underwater aggregation routing algorithm UARA to prolong lifetime by utilizing one AUV. Finally, we perform extensive simulations to validate our conclusions.
Keywords :
underwater vehicles; wireless sensor networks; automatic underwater vehicles; collaborative monitoring tasks; mining equipment monitoring; network lifetime; oceanographic data collection; pollution surveillance; underwater sensor networks; water quality monitoring; wireless sensor networks; Collaboration; Marine pollution; Marine vehicles; Mining equipment; Monitoring; Sensor phenomena and characterization; Surveillance; Underwater vehicles; Water pollution; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communications and Networks, 2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on
Conference_Location :
San Francisco, CA
ISSN :
1095-2055
Print_ISBN :
978-1-4244-4581-3
Electronic_ISBN :
1095-2055
Type :
conf
DOI :
10.1109/ICCCN.2009.5235299
Filename :
5235299
Link To Document :
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