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The Scientific World Journal
Volume 2014 (2014), Article ID 639142, 8 pages
Research Article

RSSI-Based Smooth Localization for Indoor Environment

IPPFRD, Alcatel-Lucent Shanghai Bell Co. Ltd., Shanghai 201206, China

Received 9 May 2014; Accepted 3 June 2014; Published 29 June 2014

Academic Editor: Hongli Xu

Copyright © 2014 Yujian Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Radio frequency (RF) technique, for its better penetrability over traditional techniques such as infrared or ultrasound, is widely used for indoor localization and tracking. In this paper, three novel measurements, point decision accuracy, path matching error and wrong jumping ratio, are firstly defined to express the localization efficiency. Then, a novel RSSI-based smooth localization (RSL) algorithm is designed, implemented, and evaluated on the WiFi networks. The tree-based mechanism determines the current position and track of the entity by assigning the weights and accumulative weights for all collected RSSI information of reference points so as to make the localization smooth. The evaluation results indicate that the proposed algorithm brings better localization smoothness of reducing 10% path matching error and 30% wrong jumping ratio over the RADAR system.