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Information Technology Journal
Year: 2013  |  Volume: 12  |  Issue: 18  |  Page No.: 4544 - 4548

Rss-based Affinity Propagation Algorithm Accuracy Improvement Considering Physical Location

X.H. Chen, L. Niu, Y.J. Zhou, Z. Bi, G. Ding and D. Liang    

Abstract: Affinity propagation is an algorithm which is proposed in recent years. It is an algorithm of broad application and high accuracy. From the perspective of statistic, the clustering error falls into two major categories. One results from environmental distraction, which belongs to a random error. Another part is system error resulting from the shortcoming of the fingerprint-based location technique. We refine this shortcoming as aliasing. Aliasing means that there are several distinct locations but having the same RSS vector. When there are clusters having the same vector as a certain input RSS vector, fingerprint-based technique is not able to indicate which cluster is the correct one. So, how to avoid aliasing error has become a crucial problem to solve. In this study, we proposed an innovative approach inspired by Affinity Propagation and based upon the log-normal shadowing model. The experimental results demonstrate that this approach not only achieves lower location error and quicker coverage speed, but also avoid great error to some extent.

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