DocumentCode
2273894
Title
Self organizing localization algorithm for large scale Underwater Sensor Network
Author
Naik, Samedha S. ; Nene, Manisha J.
Author_Institution
Dept. of Comput. Eng., Defence Inst. of Adv. Technol., Pune, India
fYear
2012
fDate
25-27 April 2012
Firstpage
207
Lastpage
213
Abstract
Autonomous Under Water Sensor Networks UWSNs form distributed amorphous computing environments. Efficient resolution for an unreachable UWSN which includes failure-prone nodes will require strategies that are as simple as possible in computations and local communications, to facilitate self-organization. In this paper, we propose a self organizing localization algorithm for localization in distributed UWSN. Unlike in terrestrial positioning, Global Positioning System GPS do not work efficiently for underwater scenario. Also available localization schemes are not well suited for deep underwater. We propose an efficient localization technique for underwater which also eliminates errors encountered during localization process. The proposed localization algorithm and localization method which works for terrestrial and underwater is extensively simulated. The results show that our proposed localization technique performs better.
Keywords
sensor placement; underwater acoustic communication; wireless sensor networks; GPS; Global Positioning System; autonomous underwater sensor networks; distributed UWSN; distributed amorphous computing environment; failure-prone nodes; large-scale underwater sensor network; self-organizing localization algorithm; terrestrial positioning; Acoustics; Algorithm design and analysis; Estimation; Monitoring; Oceans; Time measurement; Wireless sensor networks; Absolute positioning; Distributed; Localization; Self-Organizing; Underwater Sensor Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Recent Advances in Computing and Software Systems (RACSS), 2012 International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4673-0252-4
Type
conf
DOI
10.1109/RACSS.2012.6212725
Filename
6212725
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