期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：5
出版社：IJCSI Press
摘要：The localization of sensor nodes can be a very enabling technology that can help in improving the performance of many algorithms designed for wireless sensor networks (WSNs). This work is geared towards developing a positioning system that uses received signal strength based on fingerprinting technique. The proposed system models the signal strength distribution received from the sensor nodes using non-parametric or Gaussian distribution. The probabilistic Bayesian technique was employed as the localization algorithm for the basic model. The result obtained shows that there is an improved median error, appropriately 1.0 meter, compared to 2.5 meters for the nearest neighbour (NN) algorithm. Implicit clustering technique was used to enhanced the result obtain from the basic model. The performance of the basic model was enhanced by more than 18% for the static model and more than 10% for the mobile model. Finally using the enhanced model reduces the average number of operations per location estimate by more than 30%.
关键词：Sensor nodes; Bayesian Technique; Clustering; Location estimate; Error probability
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