Affinity Propagation Algorithm Based Multi-Source Localization Method for Binary Detection


IEICE TRANSACTIONS on Information and Systems   Vol.E100-D    No.8    pp.1916-1919
Publication Date: 2017/08/01
Publicized: 2017/05/10
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016EDL8235
Type of Manuscript: LETTER
Category: Information Network
wireless sensor network,  binary detection,  multi-source,  localization,  affinity propagation,  

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Wireless sensor network (WSN) has attracted many researchers to investigate it in recent years. It can be widely used in the areas of surveillances, health care and agriculture. The location information is very important for WSN applications such as geographic routing, data fusion and tracking. So the localization technology is one of the key technologies for WSN. Since the computational complexity of the traditional source localization is high, the localization method can not be used in the sensor node. In this paper, we firstly introduce the Neyman-Pearson criterion based detection model. This model considers the effect of false alarm and missing alarm rate, so it is more realistic than the binary and probability model. An affinity propagation algorithm based localization method is proposed. Simulation results show that the proposed method provides high localization accuracy.

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