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
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;
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
DOI :
10.1109/ISSNIP.2008.4761957