DocumentCode
2492151
Title
Localization scheme for large scale Wireless Sensor Networks
Author
Tinh, Pham Doan ; Noguchi, Taku ; Kawai, Makoto
Author_Institution
Grad. Sch. of Sci. & Eng., Ritsumeikan Univ., Kusatsu
fYear
2008
fDate
15-18 Dec. 2008
Firstpage
25
Lastpage
30
Abstract
Localization of Wireless Sensor Networks (WSNs) is an issue for location-based services. This paper proposes a new Wireless Sensor Network Localization Scheme based on Self-Organizing Maps (SOM) to deal with this issue. Our scheme utilizes only connectivity information and information from some heard anchors in the network to determine the location of nodes. With anisotropic topologies or topologies having obstacles, localization schemes tend to get higher error. Our scheme not only solves well the isotropic networks, but also minimizes the error in anisotropic networks and networks having obstacles by filtering the information from heard anchors. From our intensive simulations, the results show that the proposed scheme achieves very good accuracy in most cases.
Keywords
self-organising feature maps; signal processing; wireless sensor networks; anisotropic topology; localization scheme; node location; self organizing maps; wireless sensor networks; Anisotropic magnetoresistance; Educational institutions; Information filtering; Information filters; Large-scale systems; Lattices; Multidimensional systems; Network topology; Self organizing feature maps; Wireless sensor networks; Anchor; Localization; SOM; WSN;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Sensors, Sensor Networks and Information Processing, 2008. ISSNIP 2008. International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-1-4244-3822-8
Electronic_ISBN
978-1-4244-2957-8
Type
conf
DOI
10.1109/ISSNIP.2008.4761957
Filename
4761957
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