Location Finding in Wireless Sensor Network Based on Soft Computing Methods
Seyed Mohammad Nekooei, M.T. Manzuri-Shalmani
Journal of Information Security Research, Vol. 2, No. 4, 2011.
DOI: 
Link: http://www.dline.info/jet/fulltext/v2n4/5.pdf
Abstract:
Sensor Localization is a crucial part of many location dependent applications that is utilized in wireless sensor networks (WSNs). Several approaches, including range based and range free, have been proposed to calculate the position of randomly deployed sensor nodes. With specific hardware, the range based schemes typically achieve high accuracy based on either node to-node distances or angles. On the other hand, the range free mechanisms support less positioning accuracy with less expense. The proposed scheme is based on range free localization, which utilizes the received signal strength (RSS) from the anchor nodes. In this work, genetic fuzzy and neuro - fuzzy methods are used to become more accurate localization. For more realistic evaluation, the enhanced localization algorithms are examined in different environmental noises.