DocumentCode :
3354203
Title :
The Current Situation and Prospect of Localization in Wireless Sensor Network
Author :
Huang, Wenhao ; Wang, Yu ; Guan, Haoran
Author_Institution :
Sch. of Software Eng., Beijing Univ. of Posts & Telecoms, Beijing, China
Volume :
1
fYear :
2009
fDate :
28-30 Oct. 2009
Firstpage :
483
Lastpage :
487
Abstract :
Node localization which is determining where a given node is physically or relatively located is extremely crucial for most of the applications in wireless sensor network. In this article, we review and describe the taxonomy and fundamental localization methods. The current research in WSN localization algorithms are introduced, analyzed and concluded. The point is that no single algorithm performs best, there is significant room for improvement in tradeoff between high accuracy and low expense, energy cost. At last, we proposed the idea of combining many algorithms to make it more accurate and applicable and using artificial intelligence (AI) in mobile localization.
Keywords :
artificial intelligence; maximum likelihood estimation; wireless sensor networks; artificial intelligence; maximum likelihood estimation; mobile localization; node localization; taxonomy; wireless sensor network; Algorithm design and analysis; Artificial intelligence; Computer networks; Computer science; Costs; Distributed computing; Military computing; Monitoring; Taxonomy; Wireless sensor networks; WSN; Wireless sensor network; localization; position;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
Type :
conf
DOI :
10.1109/WCSE.2009.715
Filename :
5403420
Link To Document :
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