Xia Hu
School of Management, China University of Mining and Technology, Xuzhou 221116, China
Min Zhou
School of Management, China University of Mining and Technology, Xuzhou 221116, China
Qing Xia
School of Management, China University of Mining and Technology, Xuzhou 221116, China
ABSTRACT
In various wireless sensor networks applications, the sensor node positioning problem is the basis and key technology of IOF (internet of things), which is essential for IOF monitoring activities. Due to the influence of environment and many other factors, the data collected by sensor node is easily generate errors, leading to the existing location algorithm or model positioning effect not so satisfactory. Aiming to this problem, this paper using internet (Geometric) topology structure information, based on the model of Location Estimation-Locality Preserving Canonical Correlation Analysis (LE-LPCCA), through transforming the depiction of signal space and physical space local information, proposed a new IOF positioning model LE-RLPCCA. Compared with the kind methods at present, model LE-RLPCCA has a better robustness of error-tolerance technology, positioning accuracy and stability improved evidently.
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How to cite this article
Xia Hu, Min Zhou and Qing Xia, 2013. Internet of Things Positioning Model Study on Wireless Sensor Network. Information Technology Journal, 12: 8576-8582.
DOI: 10.3923/itj.2013.8576.8582
URL: https://scialert.net/abstract/?doi=itj.2013.8576.8582
DOI: 10.3923/itj.2013.8576.8582
URL: https://scialert.net/abstract/?doi=itj.2013.8576.8582
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